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Accounting and Finance professionals have central roles in all types and sizes of organisations whether in the UK or abroad. Read more
Accounting and Finance professionals have central roles in all types and sizes of organisations whether in the UK or abroad. This programme is likely to be of interest to current or intending finance or accounting professionals wishing to gain an academic qualification in both domestic and international financial operations.

The course offers a specialist pathway in accounting (linked to the ACCA Fundamentals papers), but also provides you with the opportunity to select modules in the areas of finance and strategy. This programme focuses on accounting and finance matters within an international context, addressing current challenges and issues faced by businesses and companies around the world.

You'll be provided with analytical and business-led tools that combine academic study with a pragmatic and well structured finance content for decision making (including the use of databases such as Bloomberg and Thompson One-Banker). The course also includes training in specialist software (SPSS and N-Vivo).

You'll take part in a residential weekend, exchanging experiences and discussing current events and specific problems affecting the accountancy and finance fields, with academics and a visiting practitioner.

You'll benefit from a wide range of extra-curricular activities including "Academic skills for Finance, Accounting and Governance" and Research Techniques, a range of Bloomberg Aptitude Tests, specialist visitor speakers, and expert symposiums and conferences.

There may be a possibility to undertake an optional work placement to enhance your employability skills and professional experience (subject to validation).

See the website http://www.lsbu.ac.uk/courses/course-finder/international-accounting-finance-msc

Modules

Core modules:
- Corporate financial management
- Research design and methods
- Financial reporting
- Theories and issues in Accounting and Finance
- Dissertation

Plus two elective modules from the areas of accounting, finance, banking, law, corporate governance and strategic management.

You'll also have the option to undertake a work placement. If you choose to do so, the dissertation may be linked to your placement experience.

All modules are assessed by a mix of coursework, individual and group presentations and written exams. A typical taught module involves a total of 200 study hours (52 contact hours and 148 group and private study hours).

The use of Bloomberg and Thomson-One Banker are embedded within modules.

Employability

Types of careers:
Graduates who possess a combination of an LSBU Masters degree and a professional accounting qualification are likely to be highly employable in senior positions in accounting and finance, not only in the UK but throughout the world. Excellent career opportunities exist in accounting and finance. Recent graduates have secured positions in accounting firms, industry, banking, finance and commerce.

Past employability skills events held by the Department include:

"My Employability event"
- My dream job
- Preparing CVs and cover letters
- Using databases to research the company
- IT qualifications for your CV
- Preparing for interviews
- Managing expectations
- Internships

Academic progression:
This masters degree also prepares you for research and further study in this area which can lead onto a PhD qualification.

LSBU Employability Services

LSBU is committed to supporting you develop your employability and succeed in getting a job after you have graduated. Your qualification will certainly help, but in a competitive market you also need to work on your employability, and on your career search. Our Employability Service will support you in developing your skills, finding a job, interview techniques, work experience or an internship, and will help you assess what you need to do to get the job you want at the end of your course. LSBU offers a comprehensive Employability Service, with a range of initiatives to complement your studies, including:

- direct engagement from employers who come in to interview and talk to students
- Job Shop and on-campus recruitment agencies to help your job search
- mentoring and work shadowing schemes.

Placements

In addition to academic rigour, the Masters is highly oriented to support your professional development.

There may be a possibility of an optional placement in a relevant business area to enable you to enhance your employability skills and apply accounting and finance theory to contemporary business practices.

If you take part in a placement, the dissertation may be linked to your placement experience. A placement is not currently offered on the part-time mode.

Facilities

Specialist industry software prepares our students with the digital skills that employers' value. Students on our programmes have access to Bloomberg, Thomson One Banker, SAGE, Blueprint, FAME, NVivo, and SPSS.

Teaching and learning

Lectures cover concepts which underpin and facilitate informed participative approaches to learning. Workshops, seminars, case studies and student led discussion facilitate more active modes of learning. You'll also benefit from excellent learning materials and small class sizes and receive training in the use of Bloomberg and Thomson-One Banker, and specialist software (SPSS and N-Vivo).

Assessment is by written coursework and exams. Lecturers offer a rich profile of academic and professional qualifications backed by professional teaching and/or research experience. An academic is appointed as your Dissertation/Business Project Facilitator, to offer guidance and constructive advice on the preparation of your dissertation/report.

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MSc International Finance is for those working or hoping to work in finance or accounting. You'll gain an academic qualification in domestic and international financial operations and you'll address current challenges and issues facing the world's international financial institutions and markets. Read more
MSc International Finance is for those working or hoping to work in finance or accounting. You'll gain an academic qualification in domestic and international financial operations and you'll address current challenges and issues facing the world's international financial institutions and markets.

The course links theory and practice in international financial matters through intensive, selective and expert orientated modules with a clearly defined business outlook. One of the main attractions of this course is that it provides a wide range of modules to suit your specific interests. The content focuses on financial markets, the analysis and management of financial intermediaries and their interaction with financial instruments, investment and risk management. This will see you studying a broad range of related topics such as asset fund management, portfolio theory and investment analysis, credit risk, and financial institutions main operations and performance within an international context.

This course provides analytical and business-led tools, including the use of databases such as Bloomberg and Thompson One-Banker. The course also includes training in specialist software (SPSS and N-Vivo) and broad data facilities for research and analysis.

On this course you'll also take part in a residential weekend focused on personal development and in-depth learning. You'll exchange experiences and discuss current events and specific problems affecting the financial markets and institutions, with academics and a visitor practitioner.

This course is subject to successful re-validation in April 2015, course content may change.

See the website http://www.lsbu.ac.uk/courses/course-finder/international-finance-msc

Modules

Core modules:
- Corporate financial management
- International financial markets
- Empirical finance
- Research design and methods
- Dissertation

Plus two elective modules from the areas of banking, investment, law, corporate governance and strategic management

You will also have the option to undertake a work placement. If you choose to do so, the dissertation may be linked to your placement experience.

Students who successfully complete at least one banking pathway module and their dissertation in the area of banking will be eligible for the award of MSc International Finance (with Banking).

Students who successfully complete at least one investment pathway module and their dissertation in the area of investment will be eligible for the award of MSc International Finance (with Investment).

Students not meeting the above criteria will be awarded MSc International Finance.

All modules are assessed by a mix of coursework, individual and group presentations and written examinations. A typical taught module involves a total of 200 study hours (52 contact hours and 148 group and private study hours).The use of specialist resources such as Bloomberg and Thomson-One Banker are embedded within modules.

Employability

Graduates who possess an LSBU Masters degree in international finance are likely to be highly employable in trading and analyst positions, not only in the UK but throughout the world. Excellent career opportunities exist in finance, banking and investment. Graduates from this course have gone on to obtain positions in major international companies, financial institutions, regulatory agencies, credit rating agencies and financial consultant firms in the UK and overseas.

Past employability skills events held by the Department include:

"My Employability event"
- My dream job
- Preparing CVs and cover letters
- Using databases to research the company
- IT qualifications for your CV
- Preparing for interviews
- Managing expectations
- Internships

The optional placement in arelevant business area enhances your employability skills and enables you to apply accounting and finance theory to contemporary business practice.

LSBU Employability Services

LSBU is committed to supporting you develop your employability and succeed in getting a job after you have graduated. Your qualification will certainly help, but in a competitive market you also need to work on your employability, and on your career search. Our Employability Service will support you in developing your skills, finding a job, interview techniques, work experience or an internship, and will help you assess what you need to do to get the job you want at the end of your course. LSBU offers a comprehensive Employability Service, with a range of initiatives to complement your studies, including:

- direct engagement from employers who come in to interview and talk to students
- Job Shop and on-campus recruitment agencies to help your job search
- mentoring and work shadowing schemes.

Placements

In addition to academic rigour, the Masters is highly oriented to support your career development.

There is an optional placement in a relevant business area to enhance your employability skills and apply accounting and finance theory to contemporary business practices.

If you take part in a placement, the dissertation may be linked to your placement experience.

A placement is not currently offered on the part-time mode.

Facilities

Specialist industry software prepares our students with the digital skills that employers value. Students on our programmes have access to Bloomberg, Thomson One Banker, SAGE, Blueprint, FAME, NVivo, and SPSS.

Teaching and learning

This course will develop your key skills in:
- Understanding the core of international finance in the modern global marketplace
- Understanding the theoretical basis for understanding the nature of international financial operations and their complexity.
- Understanding of the employment of theoretical principles to deal with practical situations faced by investors, business and financial institutions
- Developing research problems/questions in the area of investment, banking and finance.

You will also benefit from the Department's experienced lecturers, excellent learning materials, and small class sizes. Workshops, seminars, case studies and student led discussion facilitate more active modes of learning. You'll receive training in the use of Bloomberg and Thomson-One Banker, and specialist software (SPSS and N-Vivo)during seminar sessions and in the development of assignments, and dissertation/Business Project.

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Surrey’s highly regarded Department of Sociology specialises in pioneering research methods and offers a stimulating study environment for our highly sought-after graduates. Read more
Surrey’s highly regarded Department of Sociology specialises in pioneering research methods and offers a stimulating study environment for our highly sought-after graduates.

The MSc Social Research Methods programme is backed by decades of experience: we were the first in the UK to run this type of programme in 1974.

PROGRAMME OVERVIEW

Social researchers employ a constantly evolving range of qualitative and quantitative methods to explore attitudes and experiences, and to understand patterns of social behaviour.

This programme won't just train you in the application of specific research techniques: it will illuminate the connections between sociological theory and empirical research, and relate research to the development of public policy and the analysis of substantive social issues.

Wider issues of the social research process are also covered and include: the planning and management of research projects; the methodological, theoretical, philosophical and ethical aspects of research; and the presentation and publication of research findings.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time students must study at least two taught technical modules per academic year. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Data Analysis
-Documentary Analysis and Online Research
-Field Methods
-Principle of Survey Design
-Research: From Design to Dissemination
-Evaluation Research
-Statistical Modelling
-Theory and Method
-Dissertation

EDUCATIONAL AIMS OF THE PROGRAMME

The main aims of the programme are to:
-Provide an appropriate training for students preparing MPhil/PhD theses, or for students on to employment involving the use of social science research
-Introduce students to a variety of different approaches to social science research at an advanced level
-Cover the principles of research design and strategy, including formulating research questions or hypotheses and translating these into practicable research designs
-Make students aware of the range of secondary data available and equip them to evaluate its utility for their research
-Develop skills in searching for and retrieving information, using library and Internet resources
-Introduce students to the philosophical, theoretical and ethical issues surrounding research and to debates about the relationship between theory and research, about problems of evidence and inference, and about the limits of objectivity
-Develop skills in the use of SPSS, and in the main statistical techniques of data analysis, including multivariate analysis
-Develop skills in the use of CAQDAS software for the analysis of qualitative data
-Develop skills in writing, in the preparation of a research proposal, in the presentation of research results and in verbal communication
-Help students to prepare their research results for wider dissemination, in the form of seminar papers, conference presentations, reports and publications, in a form suitable for a range of audiences, including academics, policy makers, professionals, service users and the general public

PROGRAMME LEARNING OUTCOMES

The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
-Formulate, design, plan, carry out and report on a complete research project
-Use the range of research techniques commonly employed in sociological research, from survey research to field methods
-Collect or generate quantitative and qualitative data through an array of techniques, and select techniques of data generation on appropriate methodological bases
-Analyse: quantitative data using basic and more advanced skills; qualitative data from both ‘real world’ and ‘virtual world’ environments
-Employ a quantitative and qualitative software package to manage and analyse data
-Apply critical reflection skills to the methodological, theoretical, ethical, and philosophical aspects of social research practice
-Plan, manage and execute research as part of a team and as a sole researcher
-Present research findings to differing audiences
-Have an understanding of the contribution social research makes to social policy formulation and the evaluation of planned social interventions

Knowledge and understanding
-Appreciate the epistemological and ontological questions that underpin social research
-Show critical awareness and understanding of the methodological implications of a range of sociological theories and approaches
-Show systematic knowledge of basic principles of research design and strategy
-Understand the use and value of a wide range of different research approaches across the quantitative and qualitative spectra
-Show advanced knowledge of techniques, and appropriate use, of quantitative and qualitative data analysis
-Recognise the significance of social/political contexts and uses of research
-Show engagement with innovations and developments in social research
-Demonstrate a comprehensive understanding of research ethics

Intellectual / cognitive skills
-Systematically formulate researchable problems; analyse and conceptualise issues; critically appreciate alternative approaches to research; report to a range of audiences
-Analyse qualitative and quantitative data drawn both from ‘real world’ and ‘virtual world’ environments, using basic and more advanced techniques, and draw warranted conclusions
-Develop original insights, questions, analyses and interpretations in respect of research questions
-Use methodological, theoretical, ethical, and philosophical knowledge about social research practice to address complex issues creatively
-Critically evaluate the range of approaches to research

Professional practical skills
-Formulate, design, plan, carry out and report on a complete research project
-Use the range of research techniques commonly employed in sociological research
-Generate both quantitative and qualitative data through an array of techniques, and select techniques of data generation on appropriate methodological bases
-Employ a quantitative (SPSS) and qualitative software package to manage and analyse data
-Plan, manage and execute research as part of a team and as a sole researcher
-Present research findings to differing audiences in both written and oral formats, as appropriate

Key / transferable skills
-Communicate complex ideas, principles and theories by oral, written and visual means
-Work to deadlines and within work schedules
-Work independently and self-organise
-Apply computing skills for research instrument design, data analysis, and report writing and presentation
-Formulate and solve problems, both individually and as part of a team
-Demonstrate experience of a work environment

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

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This programme is ideal if you wish to use your analytic skills to derive and obtain useful insights from large amounts of data. Read more
This programme is ideal if you wish to use your analytic skills to derive and obtain useful insights from large amounts of data. By equipping you with the rigorous modelling and consulting skills needed to understand, manage and communicate useful insights from ‘big data’, it prepares you to inform business decisions or government policies.

Taught modules are delivered by our group of internationally recognised management scientists who are actively working with business, government and non-profit organisations to tackle routine, strategic or policy problems.

Our industry advisory board ensures that the focus of our taught modules is of both academic and practical relevance. IBM, our partner, has jointly developed with us two modules (Customer Analytics and Leading Analytics Initiatives), and sponsors a student prize.

During the summer, you will undertake a supervised consulting or research project. This will give you the opportunity to apply powerful tools such as data mining, forecasting, optimisation, simulation and decision analysis to a particular area of business or policy, equipping you with skills highly prized by employers.

Core study areas include consulting for analytics, discovery analytics, decision analytics, managing big data, customer analytics, leading analytics initiatives, operations analytics, policy and strategy analytics, and a consulting or research project.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/business-economics/business-analytics-consulting/

Programme modules

Semester 1:
- Consulting for Analytics
You will learn the craft and skills required by analytic consultants, and which employers look for but often find lacking. It will cover process aspects of analytics projects, as well as skills in client interaction, problem structuring and data elicitation (with individuals and/or groups, and with hard/soft data), presenting data-driven analyses, report writing, and developing simple bespoke decision support systems.

- Discovery Analytics
You will be introduced to common statistical methods to explore and visualise cross sectional and temporal data. You will also learn about the design and conduct of data collection efforts, together with methods for dealing with data outliers and missing data. Industry-leading tools that are in high demand from employers (e.g. SAS and SPSS) will be used.

- Decision Analytics
Your will be introduced to common operational research techniques to help determine the best course of action for a given decision or problem. Topics covered include optimisation, simulation and decision and risk analysis.

- Managing Big Data
Your will learn about the challenges and opportunities derived from the increased volume, variety, velocity and value of data that is available today. A range of big data topics will be covered including data type, data integration, data technologies, and data security.

Semester 2:
- Customer Analytics
You will focus on analytics techniques that can help organisations gain a deeper insight into customers’ behaviour and attitudes towards their products and services. It will cover approaches designed to provide a profile of customer segments, such as those grounded in data mining and multivariate statistical analysis. Industry-leading tools that are in high demand from employers (e.g. SAS and SPSS) will be used. There is an IBM sponsored student prize on this module.

- Leading Analytics Initiatives
You will learn about the issues associated with implementing an analytics capability in organisations. It will cover topics on how to develop an analytics strategy, how to embed analytics in organisational processes to ensure they deliver value, and how to deploy analytics throughout the organisation to improve decision making. There is an IBM sponsored student prize on this module.

- Operations Analytics
You will focus on analytics techniques that can help organisations to develop a better understanding of operational processes, and identify efficiency and cost reduction opportunities. Topics covered include advanced optimisation and simulation techniques.

- Policy and Strategy Analytics
You will focus on analytics techniques designed to tackle complex policy and strategic issues. It will cover approaches designed to explain the behaviour of complex social systems or assess the consequences of complex decisions, in order to provide the levers for policy and strategy making in a variety of sectors.

Summer:
- Consulting or Research Project

Assessment

Taught modules are assessed by a mixture of coursework and examinations.
The summer project is assessed via a written dissertation.

Careers and further study

Business analytics is a new and rapidly developing field, and individuals with analytics skills are in short supply.
Graduates from this programme can expect to work as management consultants, business analysts, policy analysts, marketing researchers, operations researchers, and data scientists.
We have developed two modules - Customer Analytics and Leading Analytics Initiatives - in close collaboration with our partner IBM, who also sponsor a student prize.

Why choose business and economics at Loughborough?

Loughborough’s School of Business and Economics is a thriving forward-looking centre of education that aims to provide an exceptional learning experience.

Consistently ranked as a Top-10 UK business school by national league tables, our graduates are highly employable and enjoy starting salaries well above the national average.

The rich variety of postgraduate programmes we offer ranges from taught masters, MBA and doctoral programmes, to short courses and executive education, with subjects spanning Management, Marketing, Finance and Economics, Work Psychology, Business Analytics, International Crisis Management and Information Management. New for 2016, we are also launching two exciting new programmes in Human Resource Management. All of this contributes to a lively and supportive learning environment within the School.

- Internationally Accredited
The School of Business and Economics is one of less than 1% of business schools in the world to have achieved accreditation from all three major international accrediting bodies: The Association to Advance Collegiate Schools of Business (AACSB International), EQUIS accreditation from the European Foundation for Management Development (EFMD) and the Association of MBAs (AMBA).

- Career Prospects
Our graduates are in great demand. Over 94% of our postgraduate students were in work and/or further study six months after graduating.* As such, you will be equipped with skills and knowledge that will serve you well in your career or enable you to pursue further study and research.

*Source: DLHE

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/business-economics/business-analytics-consulting/

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Train to become a data analyst in a growing industry by studying techniques such as data mining, statistical modelling, business intelligence and data visualisation. Read more
Train to become a data analyst in a growing industry by studying techniques such as data mining, statistical modelling, business intelligence and data visualisation. Study on a course which has been developed with direct input from industry experts who will bring real life business case scenarios to you.

More about this course

This specialist advanced course will equip students with the theoretical, technical and practical data analytics competencies required in an area of economic growth. The course curriculum content has been developed with direct input from industry experts and utilises specialist software tools and techniques. Students’ experience of the course will be enriched with exposure to real life business case scenarios brought to them by skilled professionals in industry.

The specialist nature of the course will allow students to explore and experience advanced techniques in data science. Students will acquire practical skills, often first-hand from an external practitioners, preparing them for employment as data analysts. Students will also be trained in the use of software tools and environments currently used by the industry sector. For example, students on this course will have exposure to R and Python programming, IBM SPSS, SAS®, Tableau, Oracle and Hadoop.

A range of assessment methods are used on the course, including written reports, practical and research assignments, demonstrations, presentations, group work and examinations.

Modular structure

The modules listed below are for the academic year 2016/17 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.

Year 1 modules include:
-Data Analysis and Visualization (core, 20 credits)
-Data Mining for Business Intelligence (core, 20 credits)
-Data Modelling and OLAP Techniques for Data Analytics (core, 20 credits)
-MSc Project (core, 60 credits)
-Programming for Data Analytics (core, 20 credits)
-Statistical Modelling and Forecasting (core, 20 credits)
-Financial Mathematics (option, 20 credits)
-Work Related Learning (option, 20 credits)

After the course

On completion of the course graduates will be well equipped to work in some of the fastest growing sectors of the data science and big data industries. The course offers wide-ranging career opportunities in the commercial industry, public and financial services, especially in areas requiring big data analysis such as consumer, healthcare, scientific, financial, security intelligence, business and social sciences.

Job roles include data scientist, data analyst, digital analyst, big data consultant, statistical analyst and data modeller. Graduates will be eligible to work as data analysts or data scientists in a multitude of areas where skills such as R or Python programming, machine learning and statistical modelling, SAS® and SPSS experience, data visualisation and data-driven decision-making are required.

The course also provides an excellent basis for further study for those wishing to pursue a higher-level research degree or embark on an industry-based research career.

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This Postgraduate Certificate course in Data Visualisation and Modelling provides graduates with a comprehensive understanding of the mathematical, statistical and data visualisation techniques needed to investigate problems in a wide range of applications. Read more
This Postgraduate Certificate course in Data Visualisation and Modelling provides graduates with a comprehensive understanding of the mathematical, statistical and data visualisation techniques needed to investigate problems in a wide range of applications.

With recent developments in digital technology, society has entered the era of ‘Big Data’. However, the explosion and wealth of available data gives rise to new challenges and opportunities in all disciplines – from science and engineering to biology and business.

A major focus is on the need to take advantage of an unprecedented volume of data in order to acquire further insights and knowledge.

The flexibility of this course makes it particularly suitable for students in employment.

See the website http://www.brookes.ac.uk/courses/postgraduate/data-visualisation-and-modelling/

Why choose this course?

- A flexible approach to study enables participants to complete the Postgraduate Certificate course in between 1 and 5 years (part-time).

- Use of SPSS.

- A course designed to increase employability in a high-demand field of work.

- Develop your critical skills in the application of visualisation techniques for understanding and presenting the results of analysis.

- Join a supportive and close-knit community of teachers, support staff and learners.

This course in detail

Advanced Statistical Modelling - This module introduces a broad class of linear and non-linear statistical models and the principles of statistical inference to a variety of commonly encountered data analysis problems. The software package SPSS will be used as a tool for statistical analysis with the goal of enabling students to develop their critical thinking and analytical skills. The emphasis, however, is very much on the practical aspect of the methodology and techniques with the theoretical basis kept at a minimum level.

Modelling and Data Analysis using MATLAB - This module gives depth of knowledge in advanced modelling techniques and breadth of analysis by virtue of its general application to any field of engineering and data analysis. In this module students learn to build computer models, present and analyse data using the facilities of MATLAB. Some mathematics is taught as relevant to data interpolation, optimisation and/or choosing solvers for models featuring differential equations.

Data Visualisation and Applications - This module provides a general but broad grounding in the principles of data visualisation and its applications. It covers an introduction to perception and the human visual system, design and evaluation of visualisation techniques, analysing, organising and presenting information visually, using appropriate techniques and visualisation systems.

Teaching and learning

The programme follows a supportive teaching and learning strategy based on active student engagement.

Modules offer a variety of teaching methods, and feature a selection of critical appraisal reports, the use of software applications for data analysis, presentations and case studies.

Learning methods include blended learning, formal lectures and problem solving practicals, but also guided independent learning, use of the virtual learning environment Moodle, independent research, software data analyses, and experiments.

Approach to assessment

Due to the data analysis and the interpretive nature of the course content, the high level industrial participation, and the authentic nature of the assessment, all modules are assed entirely by coursework which includes in-class tests. The assessment regime is selected according to what is appropriate for the material covered.

Attendance pattern

Students will study one twelve-week module per semester, attending campus one day per week for six weeks for each module. A typical module delivery structure is as follows.
- Face to face lectures will take place in weeks 2-5. Each face to face session is three hours, and there will be two face-to-face sessions per day.

- A two-hour class test and individual discussion of mini-projects will take place in week 6.

- An online surgery is available to support guided self-study in weeks 7-11.

- E-learning materials will be available throughout the semester as required on Moodle.

- Weekly exercises for formative feedback will be submitted into a drop box for each module.

- Mini-projects will be due at the end of week 12.

Careers

Currently, global demand for combined statistical, mathematics and computing expertise outstrips supply, with evidence-based predictions suggesting a major shortage in this area for at least the next 10 years.

For graduates in data visualisation and modelling this shortage presents opportunities to enhance career progression in one of the most crucial areas of modern science.

Free language courses for students - the Open Module

Free language courses are available to full-time undergraduate and postgraduate students on many of our courses, and can be taken as a credit on some courses.

Please note that the free language courses are not available if you are:
- studying at a Brookes partner college
- studying on any of our teacher education courses or postgraduate education courses.

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This programme provides advanced theory, knowledge and clinical skills for rehabilitation professionals. It also prepares graduates to assume leadership positions in clinical research and professional practice, offering a flexible programme of study for both specialist training and professional training. Read more
This programme provides advanced theory, knowledge and clinical skills for rehabilitation professionals. It also prepares graduates to assume leadership positions in clinical research and professional practice, offering a flexible programme of study for both specialist training and professional training.

Programme Aims

The aims of the programme are:

‌•To equip the students with a broadened and deepened knowledge based and skills, and enable them to meet the changing clients’ needs and contribute to the development of occupational therapy practices; and
‌•To equip the students with a lifelong ability to critically analyze and evaluate ongoing professional pactices so that the quality of practice can be ensured and enhanced.

Programme Characteristics

This programme is designed in response to demand from members of occupational therapy profession to keep abreast of contemporary practices and issues. It aims to equip students with a range of advanced clinical and research skills. The main focus will be using modern clinical applications and research-driven teaching. Specific examples include innovative computer technology and psychometrics to enhance your specialisation in such areas as vocational, geriatric, cognitive, psychiatric and community rehabilitation. This programme does not confer eligibility for registration with the Occupational Therapists Board of Hong Kong.

How to Apply

The award of MSc in Occupational Therapy admit students in alternate year:

MSc in Occupational Therapy programme will invite application for September 2017 Entry
Application period: Late November to 28 Feb 2017
For application, please visit http://www.polyu.edu.hk/study

Programme Structure

The programme is operated in both full-time and part time mode and it takes a normal duration 1 year to complete in full-time mode or 2.5 years to complete in part-time mode.

Students must complete 2 Compulsory Subjects - Research Methods & Data Analysis and Project Study, 5 Core Subjects and 2 Elective Subjects.

Core Areas of Study

The MScOT programme requires the students to complete 2 compulsory subjects, 5 core subjects, and 2 electives. Students can select elective subjects from other MSc programmes of the Department of Rehabilitation Sciences. Below is the list of compulsory and core subjects.

Compulsory subjects
‌•Research Method and Data Analysis (RS517)
Subject leader: Prof. Marco Pang
Number of credit: 3
Objectives: The subject is designed to provide students with an in-depth knowledge of research methodologies and data analysis. It equips students with theoretical knowledge and analytical skills required to design or critique research studies.
Upon completion of the subject, students will be able to:
‌•Develop a researchable question.
‌•Describe the various study designs and their pros and cons.
‌•Explain the principles involved in measurement and instrumentation.
‌•Develop a conceptual model in outcomes research.
‌•Select appropriate statistical methods to analyze data and interpret research findings, including the use of software packages (e.g. SPSS).
‌•Critically evaluate scientific research publications.

Teaching/learning method:

Lectures will cover the major concepts related to research methodologies. In tutorial sessions, students will learn how to select and perform appropriate statistical analysis procedures (including the use of SPSS) for different research questions and interpret the findings.

Project Study (RS567)
Subject leader: Dr. Amy Fu
Number of credit: 6
Objective: To provide an opportunity for the students to apply the acquired knowledge in other theoretical subjects to a practical project. Through the project study, students are expected to develop critical thinking, analytical and evaluative skills.
Upon completion of the subject, students will be able to:
‌•To pursue an in-depth study of a professional issue which is relevant to a chosen area of specialisation.
‌•To develop critical thinking, analytical and evaluative skills through the conduct of the project.
‌•To develop the ability to write in a scientific context.

Teaching/learning method:
Self-directed learning. Each student will be assigned a supervisor and required to complete a team project. A study plan (learning contract) will be formulated in the beginning of the study, according to the interest of the student and the supervisor. The student will be expected to meet regularly with the supervisor, but work independently.

Core subjects
‌•Students can select 5 core subjects from the following list. All are 3-credit subjects. Please note that some subjects are offered in alternate years and some have prerequisite requirements.Please click here to view http://www8.rs.polyu.edu.hk/rsmain/en/programmes/postgraduate_studies/index_id_3.html

English Language Requirement

If you are not a native speaker of English, or your Bachelor's degree or equivalent qualification is awarded by institutions where the medium of instruction is not English, you are expected to fulfil the following minimum English language requirement for admission purpose, unless otherwise specified by individual programmes concerned:

A Test of English as a Foreign Language (TOEFL) score of 80 for the Internet-based test or 550 for the paper-based test; OR;
An overall Band Score of at least 6 in the International English Language Testing System (IELTS).
Individual cases will be considered on their own merit. Applicants may be required to attend interviews or tests to further demonstrate their language proficiency.

Postgraduate Scheme

The Postgraduate Scheme in Rehabilitation Sciences comprises the following awards:

‌•MSc in Manipulative Physiotherapy
‌•MSc in Occupational Therapy
‌•MSc in Rehabilitation of People with Development Disabilities
‌•MSc in Rehabilitation Sciences
‌•MSc in Sports Physiotherapy
The awards under this scheme admit students in alternate years:

‌•MSc in Manipulative Physiotherapy, MSc in Occupational Therapy and MSc in Sports Physiotherapy are offered in the same admission year.
‌•MSc in Rehabilitation of People with Developmental Disabilities and MSc in Rehabilitation Sciences are offered in the same admission year.

Enquiries

For academic matters, please contact:

Dr Sam Chan

Tel : (852) 2766 4310
Email :
For general matters, please contact:

General Office

Tel : (852) 2766 6728
Email :

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Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science. Read more
Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science.

Furthermore, we are home to the Centre for Research in Social Simulation (CRESS) and its world-leading expertise in agent-based modelling.

PROGRAMME OVERVIEW

Interest in simulation has grown rapidly in the social sciences. New methods have been developed to tackle this complexity. This programme will integrate traditional and new methods, to model complexity, evolution and the adaptation of social systems.

These new methods are having an increasing influence on policy research through a growing recognition that many social problems are insufficiently served by traditional policy modelling approaches.

The Masters in Social Science and Complexity will equip you to develop expertise in the methods necessary to tackle complex, policy-relevant, real-world social problems through a combination of traditional and computational social science methods, and with a particular focus on policy relevance.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time over two academic years. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Data Analysis
-Field Methods
-Computational Modelling
-Theory Model Data
-Modelling the Complex World
-Policy Modelling
-Theory and Method
-Statistical Modelling
-Evaluation Research
-Dissertation

EDUCATIONAL AIMS OF THE PROGRAMME

The main aims of the programme are to:
-Provide an appropriate training for students preparing MPhil/PhD theses, or for 
 students going on to employment involving the use of social science and policy research
-Provide training that fully integrates social science, policy modelling and computational methodologies to a high standard
-Provide training resulting in students with high quality analytic, methodological, computational and communication skills

PROGRAMME LEARNING OUTCOMES
The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
-Develop skills in tackling real world policy problems with creativity and sound methodological judgment
-Cover the principles of research design and strategy, including formulating research 
questions or hypotheses and translating these into practicable research designs and models
-Introduce students to the methodological and epistemological issues surrounding research in the social sciences in general and computational modelling in particular
-Develop skills in programming in NetLogo for the implementation of agent-based models for the modelling of social phenomena
-Develop skills in the acquisition and analysis of social science data
-Make students aware of the range of secondary data available and equip them to evaluate its utility for their research
-Develop skills in searching for and retrieving information, using library and Internet resources
-Develop skills in the use of SPSS, and in the main statistical techniques of data analysis, including multivariate analysis
-Develop skills in the use of CAQDAS software for the analysis of qualitative data
-Develop skills in writing, in the preparation of a research proposal, in the presentation ofresearch results and in verbal communication
-Help students to prepare their research results for wider dissemination, in the form of seminar papers, conference presentations, reports and publications, in a form suitable for a range of audiences, including academics, stakeholders, policy makers, professionals, service users and the general public

Knowledge and understanding
-Show advanced knowledge of qualitative, quantitative and computational methodologies in the social science
-Show advanced knowledge of modelling methodologies, model construction and analysis
-Show critical understanding of methodological and epistemological challenges of social science and computer modelling
-Show critical awareness and understanding of the methodological implications of a range of sociological theories and approaches
-Show understanding the use and value of a wide range of different research approaches across the quantitative and qualitative spectra
-Show advanced knowledge in data collection, analysis and data driven modelling
-Show advanced knowledge of policy relevant social science research and modelling
-Show advanced understanding of the policy process and the role of social science and modelling therein
-Show advanced knowledge of statistical modelling

Intellectual / cognitive skills
-Systematically formulate researchable problems; analyse and conceptualise issues; critically appreciate alternative approaches to research; report to a range of audiences
-Conceptual development of Social Science and Complexity models to creatively enhance the understanding of social phenomena
-Integration of qualitative, quantitative and computational data
-Judgement of problem-methodology match
-Analyse qualitative and quantitative data drawn both from ‘real world’ and ‘virtual world’ environments, using basic and more advanced techniques, and draw warranted conclusions
-Develop original insights, questions, analyses and interpretations in respect of research questions
-Critically evaluate the range of approaches to research

Professional practical skills
-Formulate, design, plan, carry out and report on a complete research project
-Use the range of traditional and computational techniques employed in sociological research
-Ability to produce well founded, data driven and validated computational models
-Generate both quantitative and qualitative data through an array of techniques, and select techniques of data generation on appropriate methodological bases
-Employ a quantitative (SPSS) and qualitative software package to manage and analyse data
-Plan, manage and execute research as part of a team and as a sole researcher
-Ability to communicate research findings models in social science and policy relevant ways
-Ability to manage independent research

Key / transferable skills
-Communicate complex ideas, principles and theories by oral, written and visual means
-Apply computational modelling methodology to complex social issues in appropriate ways
-Creativity in approaching complex problems and a the ability of communicating and justifying problem solutions
-Apply computing skills for computational modelling, research instrument design, data analysis, and report writing and presentation
-Work to deadlines and within work schedules
-Work independently or as part of a team
-Demonstrate experience of a work environment

PLACEMENTS

On the MSc Social Science and Complexity, we offer the opportunity to take a research placement during the Easter vacation. This will provide you with first-hand experience of real-life policy research in action.

Organisations in which placements might be possible are a number of consultancies (e.g. Sandtable), government departments (e.g. Defra) and academic research centres (e.g. Centre for Policy Modelling at Manchester).

CAREER OPPORTUNITIES

Computational methods and especially computer-based simulations, are becoming increasingly important in academic social science and policy making.

Graduates might find career opportunities in government departments, consultancies, government departments, consultancies, NGOs and academia.

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

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This course is designed to provide a broad-based education in the principles and practice of GIS. Read more
This course is designed to provide a broad-based education in the principles and practice of GIS. Core modules cover issues such as the representation, acquisition, management and manipulation of spatial data; spatial analysis and modelling; remote sensing; GIS in the commercial environment; spatial databases and web-based programming. Concepts and techniques are illustrated using a variety of applications.

Key benefits

- Study to PgCert, PgDip or MSc level
- Modules may be taken in 'standalone' mode.
- Available both on-campus and by fully online distance learning
- Can be taken part-time or full-time
- Flexibility to transfer between full-time and part-time, on-campus and distance learning
- Strong focus on employable and professional skills
- Extensive hands-on practice with key software
- Entirely assessed by coursework - no formal examinations
- Established course (15 years +) with excellent reputation and feedback

Visit the website: https://www.ulster.ac.uk/courses/course-finder/201617/geographic-information-systems-9141

Course detail

- Description -

Graduates of the course are expected to have a broad overview of the field of GIS, to have extensive practical experience of GIS and related software and hardware, and be able to operate at a professional level in GIS employment.

PgDip modules cover issues such as the representation, acquisition, management and manipulation of spatial data, spatial analysis and modelling, remote sensing, GIS in the commercial environment, databases and web programming. Concepts and techniques are illustrated using a variety of applications. Students can take one optional module from a choice of GIS work experience / work-based project, GIS for environmental management, and customising GIS. Students may also opt for an environmental strand of the course.

In addition to acquiring substantial theoretical knowledge of the subject, students gain extensive practical experience using a variety of software, focusing primarily on ArcGIS but also including ERDAS Imagine, PostgreSQL, PostGIS, MySQL, OpenLayers, Geoserver, QGIS, Excel, SPSS and a number of GIS extensions and plug-ins. One of the core modules gives students experience of web-based programming languages such as HTML, CSS and JavaScript, while an optional module in customising GIS applications introduces them to Esri ModelBuilder and the Python programming language.

- Teaching and learning assessment -

Assessment is 100% by course work (no sessional examinations); a mixture of methods including practical reports, problem analysis, projects, literature reviews and essays, class tests, group work and a research project.

Students are able to use the University's extensive online resources of electronic journals, books and databases.

Career options

Successful students develop a range of skills in the management, processing, analysis, interpretation and presentation of geo-spatial data, as well as skills in project management, report writing and problem solving.

Graduates of the course have secured employment in a variety of roles in Ireland, the UK, Europe and further afield (including Australia, New Zealand, Canada and the Middle East), in GIS positions including technicians and analysts, development and sales, lecturing and research, within organisations such as mapping agencies and GIS companies, environmental consultancies, resource management and environmental agencies, planning, health services, housing authorities, local government, rural development, utilities and infrastructure, education, mining and retail analysis. Knowledge and understanding of geo-spatial data is also increasingly required in a variety of jobs outside of the GI profession, making a GIS qualification a valuable asset enhancing employability in a range of fields.

How to apply: https://www.ulster.ac.uk/apply/how-to-apply#pg

Why study at Ulster?

1. Over 92% of our graduates are in work or further study six months after graduation.
2. We are a top UK university for providing courses with a period of work placement.
3. Our teaching and the learning experience we deliver are rated at the highest level by the Quality Assurance Agency.
4. We are an international university with more than 2,000 international students from over 80 countries and Alumni from 121 countries.
5. More than 4,000 students from over 50 countries have successfully completed eLearning courses at Ulster University.

Flexible payment

To help spread the cost of your studies, tuition fees can be paid back in monthly instalments while you learn. If you study for a one-year, full-time master’s, you can pay your fees up-front, in one lump sum, or in either five or ten equal monthly payments. If you study for a master’s on a part-time basis (e.g. over three years), you can pay each year’s fees up-front or in five or ten equal monthly payments each year. This flexibility allows you to spread the payment of your fees over each academic year. Find out more by visiting http://www.ulster.ac.uk/learnyourway

Scholarships

A comprehensive range of financial scholarships, awards and prizes are available to undergraduate, postgraduate and research students. Scholarships recognise the many ways in which our students are outstanding in their subject. Individuals may be able to apply directly or may automatically be nominated for awards. Visit the website: https://www.ulster.ac.uk/apply/fees-and-finance/scholarships

English Language Tuition

CELT offers courses and consultations in English language and study skills to Ulster University students of all subjects, levels and nationalities. Students and researchers for whom English is an additional language can access free CELT support throughout the academic year: https://www.ulster.ac.uk/international/english-language-support

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The MSc Management programme at Queen’s would be an ideal way of enhancing the utility of your first degree and provides ideal preparation for a wide range of business and management careers. Read more
The MSc Management programme at Queen’s would be an ideal way of enhancing the utility of your first degree and provides ideal preparation for a wide range of business and management careers.

Designed in consultation with business leaders and managers, the MSc Management degree is aimed at new and recent graduates whose first degree is not in a business discipline and who typically have little or no practical work experience. Previous graduates have been drawn from areas as diverse as psychology, geography, law, politics, computer science and engineering.

Our students develop knowledge across the core business and management disciplines. You will gain appreciation of how business operates in today’s global marketplace and awareness of the linkages between the different functional areas of management (e.g. strategy, marketing, human resource management, and operations management). You will also develop the conceptual and analytical skills necessary to tackle contemporary business problems.

Graduates from the MSc Management programme have obtained excellent positions with leading Northern Irish and global companies, such as Bombardier Aerospace, Rolls Royce and PricewaterhouseCoopers. A survey of the 2007 cohort showed that over 80% were in employment within three months after completion.

Programme Structure

The MSc Management is a full-time programme lasting twelve months and starting each September. Students who successfully complete the degree graduate in December of the following year.

The programme consists of two semesters and the dissertation period. All students study six compulsory modules, three in each semester. Dissertations are carried out individually with supervision by a member of the academic staff.

What modules will I take?

Winning Markets examines the relationship between the theory and practice of marketing in organisational contexts. A range of issues in contemporary marketing are
examined including customer relationship management, market segmentation and fragmentation, consumer buying behaviour and product branding. Students may also
participate in researching and developing a marketing strategy for a local client company.

Operations Management in the New Economy encompasses the design, operation and improvement of the processes and systems employed to create and deliver an organisation’s products and services. A range of issues are covered including operations strategy, supply chain management, and services management. The course includes making decisions about the operations of an online factory, a real-life factory tour, and case studies of contemporary organisations.

People and the 21st Century Organisation is focused on understanding theunprecedented challenges faced by business organisations in managing their human resource. Across virtually every industry, managers are confronted with new conditions of rapid technological change and intense global competition – conditions that demand capacities of leadership, adaptability, and coordination on a scale never before imagined.

As traditional sources of competitive advantage are being eroded, organisational design is becoming a crucial aspect of business success. This course aims to equip prospective managers with the competencies to help design and deliver high-performance organisations that can succeed in the 21st century.

Strategy Making for Tomorrow’s Manager is concerned with the totality of what a business or organisation is trying to achieve. It assesses a wide variety of environmental
and organisational aspects which, when considered overall, help us to understand why some organisations thrive and similar organisations may struggle. The module is intended to prepare you for general management; it looks at the management of the firm from a holistic rather than a functional or specialist viewpoint.

Finance and Accounting for Managers addressees the theory and practice of business finance and accounting at a non-specialist level. This includes topics such as; the function of accounting and control in organisations, financial and management accounting, financial statement analysis, valuation of investment projects, the appropriate financing of investment and the choice of how to distribution benefits to stakeholders. The aim of the module is to provide students with an understanding of the use of accounting information by managers and investors and the fundamental concepts and principles of the investment and finance decisions of firms.

Statistics & Research Methods is intended to develop students’ skills and abilities to investigate, understand and interpret performance and issues in business and management. The module has two specific objectives. First, it aims to introduce students to the philosophical and ethical underpinnings of business and management research, as well as to a range of quantitative and qualitative techniques used therein. Second, it aims to provide students with an introduction to statistics and quantitative data analysis, including the use of SPSS.

How will the modules be assessed?

Assessment involves a combination of coursework, in-class tests, group work and presentations. There are no formal examinations on the MSc Management programme.

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Gain in-depth knowledge of analytical and predictive modelling skills as well as management, communication and research skills. Read more
Gain in-depth knowledge of analytical and predictive modelling skills as well as management, communication and research skills.

In the era of Big Data, analytics is becoming a strategic necessity in virtually all areas of business and is an essential tool to drive real-time decisions, foster evidence-based decision-making and sustain competitive advantage. According to a recent ranking by US News and World Report, Market Research Analyst and Operations Research Analyst are in the top four Best Business Jobs of 2015, and Harvard Business Review claims Data Scientist is the 'sexiest job of the 21st century' with practitioners having rare and highly sought-after skills.

To meet the growing demand for graduates with analytics capabilities, the MSc in Business Analytics degree equips you with the latest analytics tools to analyse and interpret data, forecast future trends, automate and streamline decisions, and optimise courses of action. Emphasis is placed on learning fundamental analytics techniques, such as statistical analysis, data mining, forecasting and regression, optimisation, simulation and spreadsheet modelling among others.

You will learn how to apply descriptive, predictive and prescriptive modelling techniques to help organisations improve performance, explore alternatives, and anticipate and shape business outcomes in a rapidly changing environment. Upon graduation, you will be ready to start a fast-track career in a variety of industries and sectors including airlines, manufacturing companies, energy, healthcare delivery, banking, marketing and government.

Students enrolled in the programme have the opportunity to work for real organisations, improve their consultancy skills and enhance their employability through the Student Implant Scheme, which bridges the gap between classroom learning and the real world. Students are also involved in a variety of activities, including case studies, team project work, guest lectures and industry visits.

Software demonstration workshops supported by IBM/ILOG are regularly organised to support the teaching of state-of-the-art analytics packages including IBM Watson Analytics, R, SPSS, Weka, MS Excel and VBA, as well as optimisation packages including Optimization Programming Language, IBM/ILOG, CPLEX and Simul8.

This programme is ideal for graduates with a good background in a quantitative area who are seeking to gain an in-depth knowledge of analytical and predictive modelling skills as well as management, communication and research skills.

Visit the website https://www.kent.ac.uk/courses/postgraduate/292/business-analytics

About Kent Business School

Kent Business School has over 25 years’ experience delivering business education. Our portfolio of postgraduate programmes (http://www.kent.ac.uk/kbs/courses/msc/index.html) demonstrates the breadth and depth of our expertise. Academic research and links with global business inform our teaching, ensuring a curriculum that is relevant and current. We are ranked (http://www.kent.ac.uk/kbs/whychooseus/rank-accred.html) as a top 30 UK business school for the standard of our teaching and student satisfaction. We also hold a number of accreditations (http://www.kent.ac.uk/kbs/whychooseus/rank-accred.html?tab=accreditations-and-professional-bodies) by professional bodies.

Studying at Kent Business School (KBS) gives you the opportunity to increase your employability with real-life case studies, a student council and a business society. We have strong links to local and national organisations providing opportunities for projects, internships and graduate placements. The School attracts many high-profile speakers from industry and last year included visits and lectures from staff of the Bank of England, BAE Systems, Barclays, Lloyds Insurance, Cummins, Delphi and Kent County Council.

Careers

You gain much more than an academic qualification when you graduate from Kent Business School – we enhance your student experience and accelerate your career prospects.

From the moment you start with us, our efforts are focused on helping you gain the knowledge, skills and experience you need to thrive in an increasingly competitive workplace.

In today’s business climate employers are increasingly demanding more from new employees, we are therefore proud that they continually target our graduates for their organisations across the globe. Employers respect our robust teaching and reputation for delivering international business expertise, leading global research and an outstanding international learning experience.

Recent graduates have gone on to work for Barclays Capital, British Embassy, Gray Robinson PA and Holiday Extras.

To find out more about business analytics and future career prospects, see the following links.

- OR Society: British Society of Operational Research: http://www.theorsociety.com/

- What is OR? Video and success stories: http://www.learnaboutor.co.uk/

Professional recognition

Kent Business School is a member of the European Foundation for Management Development (EMFD), CIPD, CIM and the Association of Business Schools (ABS). In addition, KBS is accredited by the Association of MBAs (AMBA).

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

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- MSc Global Financial Management with Advanced Practice. Based on, and taught in conjunction with, the established Global Financial Management 1 year programme, this new 2 year version includes an additional semester of Advanced Practice. Read more

About this course

- MSc Global Financial Management with Advanced Practice
Based on, and taught in conjunction with, the established Global Financial Management 1 year programme, this new 2 year version includes an additional semester of Advanced Practice. This permits you to expand on the knowledge and skills developed in Year 1 by undertaking either an internship with a company or to work in the Newcastle Business School Business Clinic which provides a consultancy service for local businesses.

The programme has been developed in response to the considerable worldwide demand from those wishing to follow a career in financial management. In this course, we specialise on investment and risk management, sustainable strategic decision making, corporate financial management and the international financial markets and institutions. Focus is paid to particular financial management themes recognised within the finance industry and is further supported by a range of core management modules around Academic and Professional Development as well as the development of key capabilities relating to employability which are captured in the Developing Global Management Competencies modules.

While studying, you will benefit from our Business School’s trading room which features Bloomberg Terminals that are used by top traders throughout the world. You will have direct use of data, info and analytics to help you in your studies. Additionally, students use statistical software such as E-views, SPSS, Stata to investigate, analyse and forecast empirical nature of real world financial issues. To ensure this course is up to date an extensive review has recently taken place, part of which was to benchmark the content against syllabuses of the Chartered Financial Analysts (CFA).

Following the summer vacation, Semester 3 is spent working full-time in a real business environment either as an intern or in the Newcastle Business School Business Clinic. During the fourth and final semester you will be required to complete the Masters Consultancy Project or a dissertation.

Students successfully completing this programme will be awarded an MSc Business with Management with Advanced Practice.

See the website https://www.northumbria.ac.uk/study-at-northumbria/courses/global-financial-management-with-advanced-practice-msc-ft-dtfgfp6/

Advanced Practice

- Internships
Newcastle Business School has a long and hugely successful record with placing students in internships across the UK and, indeed, all over the world. We know from experience that internships bring a range of benefits – they make students more employable because they can talk about actually doing business rather than just studying it, and they tend to get better final results because they have a real context for their study of business and find inspiration for their Master’s project in the work environment. At the same time students provide a real benefit to the host companies who appreciate fresh insights to their business and gain a greater appreciation of the benefits that graduates can bring to their organisation.

- Business Clinic
Newcastle Business School operates its own Business Clinic to provide consultancy services to businesses and organisations in the region. Working full-time in the clinic offers the chance to explore a variety of businesses and help them embrace new opportunities. Whether assisting a business to develop an internet marketing strategy or investigating international market opportunities for a new product, you will develop skills in quickly getting to understand a business issue, work in teams, research the issues and prepare and present a professional set of recommendations. Recent clients have included Gateshead Council, the Dyspraxia Foundation, Mediaworks, Carlisle City Council and 2020 Vision Technology. This is an amazing opportunity to assimilate skills developed in the classroom.

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Our Banking and Finance MSc provides you with the skills and expertise to pursue a career in the banking and financial market industries. Read more

Course overview

Our Banking and Finance MSc provides you with the skills and expertise to pursue a career in the banking and financial market industries.

Worldwide growth in the financial services sector has increased the demand for professionals with specialist skills and competencies in banking and finance. This course is responsive to trends and issues in global financial services industries.

It features topics including:
•retail banking
•investment banking
•investment management
•central banking.

What you'll learn:
We will teach you how retail and investment banks function within financial markets. You'll also understand the role of other financial intermediaries.

You will study and apply theoretical frameworks in economics and finance. The course will also encourage you to engage with contemporary debates on issues related to financial markets and institutions.

We will provide you with the opportunity to understand and critically analyse:
•the role of commercial and investment banks within international financial markets
•the functioning of financial markets
•a wide range of investment management topics.

Advanced software:
Where possible you will have access to advanced statistical software including:
•Eviews
•SPSS
•Stata
•Gauss
•MATLAB
•SAS
•Maple
•Minitab.

You will also have access to a number of financial databases including:
•Bloomberg
•Thompson Financial's DataStream
•Fame
•Amadeus
•WRDS
•Compustat
•CRSP
•Oriana.

You will use these for your empirical projects in applied econometrics as well as your final dissertation.

Your development:
On completion of this course, you will develop relevant skills and a practical understanding of:
•the role of retail and investment banks in modern economies
•the operational behaviour of banks, financial markets and investors
•contemporary debates in international financial markets
•empirical modelling techniques in the areas of economics and finance
•how to synthesise and present relevant data, conclusions and recommendations

Course recognition by professional bodies:

CFA Institute's University Recognition Program

This course is part of the CFA Institute's University Recognition Program. This means that our course(s) incorporate at least 70% of the CFA Program Candidate Body of Knowledge (CBOK). We provide a solid grounding in the CBOK which will position you well to sit the CFA exams.

As a student on this course, you might be eligible for a CFA scholarship. This would entitle you to reduced CFA exam fees, including accompanying relevant materials.

Chartered Institute of Management Accountants (CIMA)

Students who pass the exam in our module NBS8340: Introduction to Financial Reporting will be exempted from the CIMA examination in BA3: Fundamentals of Financial Accounting (part of CIMA Certificate in Business Accounting).

Chartered Institute of Securities and Investments (CISI)

You will also benefit from our status as a Chartered CISI Partner University. The CISI is a leading international professional body for securities, investment, wealth and financial planning. You will have an opportunity to become a CISI member free of charge. Our partner status make sure you will be well prepared to sit the CISI Level 6 Financial Markets exam, as well as for your future career in investment and wealth management.

Career focus:
This course will suit you if you are motivated to pursue any of the following careers:
•banker in retail and investment banks
•financial trader, financial analyst or risk manager in financial institutions
•economist in private and government organisations

Graduates from this course have undertaken various roles including:
•Financial Analyst
•Financial Trader
•Fund Manager
•Financial Economist
•Chief Financial Officer
•Auditor
•Risk Analyst.

Some graduates have gone on to do research in this area. At Newcastle, we offer PhD programmes in:
•Economics
•Finance and Accounting.

Throughout your time here you will have one-to-one support from our award-winning Careers Service. They will help you to make the most of your skills and to find the best opportunities.

Delivery:
This course offers a wide selection of modules spanning from banking to portfolio management.

Guest lectures:
Guest lectures on the course complement the study of theoretical frameworks. These lectures analyse the most recent trends in financial markets and banking industries. They also provide an overview of the available opportunities within the financial sector.

You can view the profiles of some of our previous guest lecturers to get an idea of what we offer.

Events and networking opportunities:
We offer a wide range of extra activities to help develop your skills and expand your knowledge of financial matters. They will also give you insights into different roles in the financial industry and boost your employability. This includes training on financial trading delivered with Amplify Trading, as well as the CFA annual global investment challenge.

Throughout the academic year we also hold many events on campus that you are welcome to join. They are topical and provide great opportunities for you to network with:
•national and multinational organisations
•alumni
•peers.

Research led teaching:
This course is delivered by a mix of highly experienced and prominent academics.

The course builds on our established research strengths in finance and economics:
•Applied Econometrics
•Behavioural Research in Finance
•Macroeconomic Analysis and Applications.

Modules

For detailed module information see http://www.ncl.ac.uk/postgraduate/courses/degrees/banking-finance-msc/#modules

How to apply

For course application information see http://www.ncl.ac.uk/postgraduate/courses/degrees/banking-finance-msc/#howtoapply

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Our Finance MSc teaches you advanced knowledge and skills in financial markets and institutions. You'll learn how they function and interact with the real economy. Read more

Course Overview

Our Finance MSc teaches you advanced knowledge and skills in financial markets and institutions. You'll learn how they function and interact with the real economy.

Worldwide growth in the financial services sector has furthered the demand for students with specialist skills and competencies in finance.

Our course is responsive to trends and issues in global financial markets and services. It features compulsory modules in financial theory and corporate policy. It also includes optional modules on financial markets, financial institutions and applied empirical methods in finance. It is closely related to our Banking and Finance MSc.

This course will suit you if you are motivated to pursue a career in:
•investment banking
•financial research
•financial trading.

What you'll learn:
Your studies will include financial markets and institutions and the management of asset-specific, company and country risk. We'll teach you how to analyse their roles within the international financial system.

The course will develop your understanding of the key financial principles and theories. You'll also improve your existing IT and research skills, which employers value in this competitive sector.

You'll understand and analyse international financial markets, institutions and the strategies of investors. We'll encourage you to engage with contemporary debates on important issues related to the operation of financial markets and institutions. You will learn about the types and function of financial markets such as stock, bond, foreign exchange and derivative markets.

Advanced software:
Where possible you will have access to advanced statistical software including:
•Eviews
•SPSS
•Stata
•Gauss
•MATLAB
•SAS
•Maple
•Minitab.

You will also have access to a number of financial databases including:
•Bloomberg
•Thompson Financial's DataStream
•Fame
•Amadeus
•WRDS
•Compustat
•CRSP
•Oriana.

You'll use these for your empirical projects in applied econometrics as well as your final dissertation.

Your development:
On completion of the course you will be able to:
•apply appropriate econometric and computational techniques in the area of finance
•show advanced capability with some econometric and computational techniques
•critically analyse the results generated by these techniques
•synthesise and present relevant data, conclusions and recommendations to both specialist and non-specialist audiences
•apply knowledge, skills and understanding to complex issues within the finance and related industries.

Course recognition by professional bodies:

CFA Institute's University Recognition Program

This course is part of the CFA Institute's University Recognition Program. This means that our degree course(s) incorporate at least 70% of the CFA Program Candidate Body of Knowledge (CBOK). We provide a solid grounding in the CBOK which will position you well to sit the CFA exams.

As a student on this course, you might be eligible for a CFA scholarship. This would entitle you to reduced CFA exam fees, including accompanying relevant materials.

Chartered Institute of Management Accountants (CIMA)

Students who pass the exam in our module NBS8340: Introduction to Financial Reporting will be exempted from the CIMA examination in BA3: Fundamentals of Financial Accounting (part of CIMA Certificate in Business Accounting).

Chartered Institute of Securities and Investments (CISI)

You will also benefit from our status as a Chartered CISI Partner University. The CISI is a leading international professional body for securities, investment, wealth and financial planning. You will have an opportunity to become a CISI member free of charge. Our partner status make sure you will be well prepared to sit the CISI Level 6 Financial Markets exam, as well as for your future career in investment and wealth management.

Career focus:
Graduates from the course have undertaken various roles including:
•Chartered Financial Analyst
•Financial Trader
•Risk Analyst
•Chief Financial Officer
•Accountant
•Auditor.

Throughout your time here, you will have one-to-one support from our award-winning Careers Service. They can help you make the most of your skills and to find the best opportunities.

Delivery:
The course is modular, with taught modules from October to May and a final dissertation project from June to September.

Guest lectures:
Guest lectures by practitioners and policy makers on this course complement the study of theoretical frameworks. These lectures analyse the most recent trends in financial markets and banking industries. They also provide an overview of the available opportunities within the financial sector.

Events networking opportunities:
We offer a range of extra-curricular activities to develop your skills and knowledge on financial matters. We also help you gain insights into different roles in the financial industry and boost your employability. This includes training on financial trading delivered with Amplify Trading, as well as the CFA annual global investment challenge.

Throughout the academic year we hold many events on campus that you are welcome to join. Events are topical and provide great opportunities for you to network with:
•national and multinational organisations
•alumni
•peers.

Research led teaching:
This course builds on our established research strengths in finance and economics:
•Applied Econometrics
•Behavioural Research in Finance
•Macroeconomic Analysis and Applications.

Accreditation:
Newcastle University Business School is accredited by the:
•Association to Advance Collegiate Schools of Business (AACSB)
•European Quality Improvement System (EQUIS)
•Association of MBAs (AMBA).

Only 1% of business schools worldwide hold triple accreditation. Our Business School is part of this elite group and this accolade is a huge endorsement. It reflects the investments we make for our students through providing:
•a high quality teaching environment
•innovative programming
•active engagement with industry

Facilities:
Newcastle University Business School is one of the largest Schools in the University. We have over 3,500 students representing over 93 nationalities. Our location and modern design creates a dynamic centre point for a valuable network of:
•regional, national and international thought leaders
•alumni
•leading professions

Our facilities provide:
•a flexible and dedicated conference suite with panoramic views across the city
•Wi-Fi enabled connectivity throughout the building, including three computer clusters housing approximately 120 PCs
•four large lecture theatres and 21 seminar rooms, providing comfortable teaching and group study space
•a dedicated Hub and Base providing a balanced mix of study space and relaxation areas
•a contemporary café.

Modules

For detailed module information see http://www.ncl.ac.uk/postgraduate/courses/degrees/finance-msc/#modules

How to apply

For course application information see http://www.ncl.ac.uk/postgraduate/courses/degrees/finance-msc/#howtoapply

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MSc Human Resource Management & Business (HRMB) will develop your understanding of the theory and practice of people management in work organisations, addressing the skills required for effective analysis and policy formation. Read more
MSc Human Resource Management & Business (HRMB) will develop your understanding of the theory and practice of people management in work organisations, addressing the skills required for effective analysis and policy formation. The programme is distinctive in grounding the study of HRM within the broader discipline of management, with an emphasis on change management and strategy.

Our MSc programme is fully accredited by the largest internationally recognised HR professional body, the Chartered Institute of Personnel & Development (CIPD), providing you with the ideal qualification for developing your career in HR.

Subject guide and modules

Core Modules:
-Organisational Behaviour
-Strategy, Change and Leadership
-Strategic and International HRM
-Assessment, Performance and Reward
-Learning and Talent Development
-Employee Relations in Context
-Employment Law
-Research Methods in Human Resource Management & Business and Organisational Behaviour

The programme then concludes with a dissertation project.

In addition to your Aston degree, you will have the opportunity to participate in our international study exchange programme. Studying with one of our partner institutions, the programme will enhance your international experience and communication skills, preparing you for a career in the international business environment.

Learning, teaching and assessment

You will be assessed through a mixture of examinations and coursework. The taught element of the programme is then complemented by a substantial piece of research leading to the completion of a project.

Professional accreditation

This programme is fully accredited by the Chartered Institute of Personnel and Development (CIPD) meeting requirements of CIPD Level 7 Advanced Diploma in HR Management. Successful completion of this degree will give you the professional level of CIPD membership – Associate (AssocCIPD) – and the knowledge to upgrade to the higher levels of Chartered Member or Chartered Fellow.

Career opportunities

This programme will prepare you for a wide range of roles in the related fields of HR, personnel and recruitment. Recent graduate positions include:
-Head of Graduate Recruitment
-HR Graduate Internship
-Personnel Manager – Tesco (UK)
-Rewards Consultant – Rolls-Royce (UK)
-Talent & Development Coordinator

Personal development

Modules taught on this MSc will enable you to develop a wide range of technical and transferable skills demanded by graduate employers in addition to knowledge and understanding of HR processes and procedures.

Key areas of HR professional practice covered include:
-Contracts of employment, discrimination, employment termination, health and safety at work
-Strategic HR, employee resourcing, employee development, employee relations, employee involvement and participation, work motivation
-Selection and assessment methods, job performance measurement, reward management and career management
-Organisational change, change management strategies and minimising work-related stress
-Organisational leadership, individual, group and organisational functioning
-Diversity management, HR management of expatriates and HR issues in international business alliances

Other business areas covered include:
-Business performance standards (including profitability, investment and efficiency) , costing and budgeting
-Cash flow forecasting, profit and loss statements, balance sheets
-Market analysis and planning, strategy development and marketing mix policies

You will develop a range of other skills through:
-Attending programmes in interviewing and presentation skills
-Designing and carrying out independent research, including writing research proposals, qualitative and quantitative data analysis (including using SPSS) and reporting
-Data collection and analysis of group effectiveness and member well-being through log-book recording of syndicate group interaction
-Report-writing, data presentation and group facilitation
-Multi-cultural teamwork and presentations in group work

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