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Masters Degrees (Complex Analysis)

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The Systems Analysis and Design pathway gives students an understanding of how technological information systems work, enabling them to deliver IT-based solutions, such as enterprise systems to business and organisations. You’ll learn how to manage data to deliver actionable business insight using creative, sophisticated techniques to solve complex business issues. . Read more

The Systems Analysis and Design pathway gives students an understanding of how technological information systems work, enabling them to deliver IT-based solutions, such as enterprise systems to business and organisations. You’ll learn how to manage data to deliver actionable business insight using creative, sophisticated techniques to solve complex business issues. 

Commercial focus

Students will learn how systems ‘think’ and be able to apply their understanding to systems analysis and design methodology to enable them to plan, manage and design and implement information management projects.

After you’ve graduated

Our graduates leave us prepared to take on a range of jobs in the digital economy, from systems analysis and design, to product development and management consulting. Among other organisations, our alumni join financial services firms, IT companies, consulting firms, software houses, healthcare and the public sector.

Not sure which pathway to choose from 3 choices? Apply for the one that you feel fits you better and you will be able to change the pathway within the first few weeks from your arrival to the university.

Why Henley?

  • Consistently maintain highest standards: Henley is in top 1% of business schools worldwide to hold accreditation from all three bodies in the UK, Europe and US
  • Excellent networking potential : 72,000 Henley alumni members in 150 countries
  • High calibre students: always oversubscribed, 1,000 ambitious new Masters students join Henley each year
  • Award winning campus: beautiful, green, 134 hectares, with state of the art facilities
  • World-leading faculty: widely published, frequently asked for expert comment by media and to speak at events
  • Henley is proud to be part of the University of Reading. The University is ranked within the top 200 universities worldwide (Times Higher Education World University Rankings 2016/17 and QS World University Rankings 2018) and 98% of the research is rated as being of international standard.

Course content

Compulsory modules

Optional modules

In addition students must choose two optional module from the list below.

Please note there is no guarantee that in any one year all modules will be available. 

How we teach you

A holistic approach

Effective leadership requires more than first-class business acumen. It also requires a degree of self-awareness and sensitivity. Henley is renowned for its well-researched, professional approach to this aspect of business education and all our postgraduate programmes examine this aspect of leadership - helping to create emotionally intelligent graduates who can be fully effective in their chosen careers.

How you will learn

Henley Business School enjoys a strong reputation for the practical application of business ideas and concepts, underpinned by academic excellence and the strength of our research. We offer high-quality technical skills training as well as a deep understanding of the importance of personal development for leaders, a thread that runs through all of our Masters programmes.

Our postgraduate masters programmes feature a mix of core and optional modules, allowing you to tailor your degree towards your individual personal development needs and career ambitions. You will complete up to 10 taught modules during your programme, totalling 180 credits. One module usually equates to 20 credits or 10 hours of work per week. Your week will include lectures, tutorials, workshops and personal study, with each accounting for 25% of your time on average. This stimulating mix of lectures and interactive tutorials provides you with the opportunity to discuss and explore the subject material in depth with your lecturers and fellow students. You will be introduced to the latest thinking and research findings and be able to challenge some of those that have created it. You will also explore real-world issues and tackle current business challenges, and interact with guest lectures and speakers from industry, giving you the opportunity to test, extend and refine your knowledge and skills.

How we assess you

You will learn and be assessed through a wide variety of teaching methods which vary depending on your chosen Masters programme. These include online materials and multimedia content, guest lectures, individual and group assignments, case studies, field visits, dealing room simulations, presentations, applied projects, consultancy work and examinations.

On average examinations form around 70% of the assessed work with the remaining 30% coming from coursework, including a written dissertation or project depending on your chosen programme. The exam period falls between April and June in the summer term, with students taking an average of 5 or 6 exams. Graduation normally takes place in December.

Ongoing support

While postgraduate students are self-motivated and determined individuals, study at this level can present additional pressures which we take seriously. Lecturers are available to discuss the content of each module and your personal tutor can meet with you regularly to discuss any additional issues. Full-time support staff are also available to help with any questions or issues that may arise during your time at Henley

Careers and accreditations

Each pathway of our MSc Information Management is designed to give a rigorous academic understanding of real-life and current business issues. Graduates of the Systems Analysis and Design pathway will be equipped to manage and utilize information resources in various business fields including business & management, construction management and healthcare through a thorough understanding of systems analysis and design methodology.

A number of our students join our PhD programmes each year.

Students who pass the module INMR66 – Business Domain and Requirements Analysis with a mark of 60 or above will be eligible for the British Computer Society Professional Certificate in Business Analysis Practice. 



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The objective of this programme of study is to prepare professionals able to deal with complex systems using sophisticated mathematical tools, yet with an engineering attitude. Read more

Mission and goals

The objective of this programme of study is to prepare professionals able to deal with complex systems using sophisticated mathematical tools, yet with an engineering attitude. It harmonises a solid scientific background with a command of advanced methodologies and technologies. The programme is characterised by a continuous synergy between Applied Mathematics and Engineering disciplines- The students may choose among three specialisations:
- Computational Science and Engineering
- Applied Statistics
- Quantitative Finance

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mathematical-engineering/

Career opportunities

The professional opportunities offered by this course are rather ample and varied: engineering consultancy companies that deal with complex computational problems; manufacturing or civil engineering companies where analyses based on the use of advanced mathematical tools are needed; banks, insurance companies and financial institutions making use of quantitative finance for risk analysis or forecast; companies that require statistical interpretation and the processing of complex data, or the simulation of different scenarios; public and private research institutes and laboratories.

Eligible students

Students holding a Bachelor degree in Mathematical Engineering, or in a related area with a solid background in the core disciplines of the programme, i.e. Applied Mathematics, Computer Science, Applied Physics or other Engineering disciplines are eligible for application. In particular, eligible students' past studies must include courses in different areas of Engineering (among Informatics, Economics & Business Organization, Electrotechnics, Automation, Electronics, Applied Physics, Civil Engineering) for at least 25% of the overall courses, as well as courses in different areas of Mathematics (Mathematical Analysis, Linear Algebra, Geometry, Probability, Statistics, Numerical Analysis, Optimization) for at least 33% of the overall courses.
The following tracks are available:
1. Computational Science and Engineering
2. Applied Statistics
3. Quantitative Finance

Eligible students must clearly specify the track they are applying for in their motivation letter.

Presentation

See http://www.polinternational.polimi.it/uploads/media/Mathematical_Engineering.pdf
The Master of Science in Mathematical Engineering (MSME) aims to form an innovative and flexible professional profile, endowed with a wide spectrum of basic scientific notions and engineering principles, together with a deep knowledge of modern pure and applied mathematical techniques. MSME is characterized by a continuous synergy between Mathematics and Engineering methods, oriented to the modelling, analysis and solution of complex planning, control and management problems, and provides the students with the possibility to face problems from various scientific, financial and/or technological areas. The MSME graduates can find employment in Engineering companies specialized in handling complex computational problems, requiring a multidisciplinary knowledge; in companies manufacturing industrial goods for which design analysis based on the use of advanced mathematical procedures are required; in service societies, banks, insurance companies, finance or consultant agencies for the statistical interpretation and the simulation of complex situations related to the analysis of large number of data (e.g. management and optimization of services, data mining, information retrieval) or for handling financial products and risk management; in public and private institutions. The programme is taught in English.

Subjects

Three main tracks available:
1. Computational Science for Engineering
Real and functional analysis; algorithms and parallel programming; numerical and theoretical analysis for partial differential equations; fluid mechanics; computational fluid dynamics advanced programming techniques for scientific computing;

2. Statistics
Real and functional analysis; algorithms and parallel programming; stochastic dynamical models; applied statistics, model identification and data analysis; Bayesian statistics

3. Mathematical Finance
Real and functional analysis; algorithms and parallel programming; stochastic differential equations; mathematical finance; financial engineering; model identification and data analysis.

In the motivation letter the student must clearly specify the track he/she is applying for.

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mathematical-engineering/

For contact information see here http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mathematical-engineering/

Find out how to apply here http://www.polinternational.polimi.it/how-to-apply/

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Why choose this course?. Read more

Why choose this course?

Modern industry operates within a highly competitive global market, the adoption, exploration and management of technology across both design and manufacture and product simulation performance is at the forefront of providing successful business with the competitive edge needed to survive and grow. In addition, society is demanding that such business enterprises become evermore proactive in terms of adopting a more socially conscious approach, such as sustainability, across all their strategies and operations.

This course aims to develop your knowledge and understanding of modern engineering analysis and simulation tools and techniques in terms of product development and optimisation before manufacture. You will gain a comprehensive understanding of how various IT-based tools and systems function while also gaining insights into how these are implemented effectively, within the manufacturing and industrial sectors. You will be equipped to undertake cross-functional management roles and to evaluate how modern organisations can strategically exploit existing and emerging technologies. This reflects the growing demand for specialists with advanced skills and knowledge to drive forward effective, new, product development and their introduction across all of the major industrial sectors including automotive, aerospace and general manufacture.

The course will allow you acquire advanced knowledge and systematic understanding of contemporary finite element modelling techniques to analyse the behaviour of complex engineering systems and components. It will involve a comprehensive understanding of advanced solid mechanics and analytical techniques pertinent to product development and sustainability, and to apply these advanced techniques to synthesise novel designs of a range of engineering systems.

What happens on the course?

Research Methods and Professional Skills

Project Management Tools and Techniques

CAD and Product Definition

Emerging Design Tools

Dissertation

Simulation and Design Optimisation

Applied Stress Analysis

Why Wolverhampton?

This course provides you with the unique opportunity to experience the practicalities and applications of modern Engineering Analysis Techniques. The dedicated IT simulation resources and expertise of our specialised staff, based at our Telford Campus, is well renowned and often called upon to support and advise external agencies and key industries across the aerospace, automotive and automotive sports and power generation sectors. You can therefore rest assured of access to a variety of significant simulation techniques facilities and expertise. Beyond this, the course will encourage and guide you to explore and conduct research into emerging Design and use the latest industry standard simulation software to produce complex, economical and sustainable part/component part production. Our expectation is that the exposure offered by the course, to modern and newly emerging manufacturing technologies coupled with the project managerial aspects of the course will ensure that you are well placed to take up a key role in this dynamic industrial sector.

You will have the opportunity to engage with a range of learning approaches during the course of your study.

You will take part in lectures and seminars. Some of these will be more traditional whereas others will require you to undertake research before coming together to discuss technical issues with a range of students and academic staff. You will have seminars from industry practitioners and have the opportunity to discuss your projects with them to gain real world insight into the problems you are trying to solve.

You will have the opportunity to work in a range of dedicated facilities such as the Dedicated IT Laboratories to develop practical skills and understand the link between the theory and practical implementation of integrated CAD, Simulation and Finite Element Analysis Techniques. Throughout the weekly class sessions and through use of the on-line support material, you will obtain skills required to successfully implement and manage a range of modern design and simulation systems, processes and methodologies.

Often working on assessment and project briefs specified by industry practitioners, you will develop solutions to meet real world problems/requirements and be able to present these to your peers, practitioners and third parties in order to obtain balanced and current feedback.

Career Path

The course is aimed at Science and Technology graduates who aspire to Engineering and Manufacturing management roles, in leading industrial organisations.

On completion of the programme, you can expect to develop your career leading to senior management where strategic thinking skills, project management experience and a deeper technological knowledge-base would be beneficial.

What skills will you gain?

  • Develop novel strategies for the management and deployment of advanced and emerging technologies, tools and techniques.
  • Select and apply appropriate industry standard computer aided engineering software and analysis methods to model, analyse and evaluate engineering systems and solve engineering problems.
  • Apply knowledge to create original concepts for products, engineering systems or processes.
  • Make use of high level skills and abilities to exploit generic and bespoke software tools, solve complex design, configuration or process problems and thereby develop industrially appropriate solutions for delivery to a range of audiences.
  • Be fully conversant with the theories underpinning the fundamental principles that govern Stress Analysis
  • Model and analytically analyse the behaviour of structures and engineering components under complex loading conditions especially in specific applications such as those encountered in the automotive, aeronautical, aerospace and power generation industries

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The Complex Systems Modelling - From Biomedical and Natural to Economic and Social Sciences MSc programme will teach you to apply mathematical techniques in the rapidly developing and exciting interdisciplinary field of complex systems and examine how they apply to a variety of areas including biomedicine, nature, economics and social sciences. Read more

The Complex Systems Modelling - From Biomedical and Natural to Economic and Social Sciences MSc programme will teach you to apply mathematical techniques in the rapidly developing and exciting interdisciplinary field of complex systems and examine how they apply to a variety of areas including biomedicine, nature, economics and social sciences. This research-led course is suitable for graduates who wish to work in research and development in an academic or industrial environment.

Key benefits

  • Located in the heart of London, giving unparalleled access to research facilities.
  • You will be studying innovative modules covering modern theories of complex systems modelling.
  • Research-led study programme taught by staff who are recognised leaders in their field.

Description

The Complex Systems Modelling MSc is an innovative study programme that explores the latest research in the rapidly developing and exciting interdisciplinary field of cpmplex systems.

Modern societies rely on a broad range of infrastructures, institutions and technologies, and their complexities have grown dramatically in the recent past. Consequently, there is a rapidly expanding demand for expertise in complex systems modelling as a foundation for understanding, maintaining and further developing of such systems.

The programme offers you the choice to study either full or part-time. You must take a combination of required and optional modules totalling 180 credits to complete the course. If you are studying full-time, you will complete the course in one year, from September to September. If you are studying part-time, your programme will take two years to complete. You will study the required modules in the first year, and a further selection of required and optional modules including the complex systems modelling module in your second year.

You will study key natural and biomedical scientific topics as well as economic and social sciences. We also offer the opportunity to study an additional zero-credit module called foundations for complex systems modelling and cross-disciplinary approaches to non-equilibrium systems and is designed as a refresher module covering vital mathematics and physics skills.

Course purpose

For graduates in mathematics, or in other suitable scientific disciplines with a strong background in mathematics, who want to work in research and development in an academic or industrial environment. The programme aims to develop a knowledge and understanding of complex systems modelling and their uses, and to enable students to use mathematical techniques to quantify, predict and improve such systems.

Course format and assessment

Primarily written examinations, some with coursework element, in eight lecture modules, plus an oral presentation and assessed report on the research project.

Career destinations

Our graduates are highly sought after: the applicability of complex systems modelling to areas as diverse as biomedical, natural, economic and social sciences, results in a broad range of opportunities. Some graduates are employed by the companies or laboratories that supervise their MSc research projects, or continue to PhD study.

Other career destinations include:

  • Complexity science consultancies and software development
  • Information Processing 
  • Data Analysis
  • NHS Research
  • Financial and re-insurance sectors
  • Industrial sectors linked to Physics, Science Materials and Engineering
  • Information Technology
  • Entertainment and Gaming 
  • Research and further studies


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Cultural processes are creative and dynamic, meaning that our analysis of them must be too. This programme emphasises the critical analysis of cultural processes from an advanced theoretical perspective and with an interdisciplinary outlook. Read more

Cultural processes are creative and dynamic, meaning that our analysis of them must be too. This programme emphasises the critical analysis of cultural processes from an advanced theoretical perspective and with an interdisciplinary outlook.

How can cultural analysis engage with the most significant challenges of the contemporary globalised world, with all its inequities and all its possibilities? Can the critical traditions of sociological thought provide adequate responses to today’s world?

The principal disciplinary resources the programme draws on are those of sociology of culture, cultural studies, post-structuralist philosophy, critical literary aesthetics and textual analysis. Together they provide students with a critical grasp on contemporary cultural processes and central issues in the theory and analysis of contemporary culture.

Our most flexible MA, the programme benefits from an expanded choice of option modules.

In addition to the core module and one chosen from within a wide range of Sociology options, you are able to choose two further modules from across a range of participating departments, allowing you to tailor the degree to your individual interests. 

The MA attracts students with backgrounds in social science, humanities and philosophy as well as more creative pursuits, and from across the world.

This course covers the following disciplines: 

  • sociology and social sciences
  • anthropology
  • art
  • philosophy
  • other humanities

Modules & structure

Overview

The MA enables you to develop critical and analytical interdisciplinary perspectives on contemporary socio-cultural processes. It offers a sense of the breadth of possible approaches, while developing the skills necessary to produce original analyses in a scholarly and inventive manner. You take:

  • A core module (30 credits)
  • Three option modules (or equivalent; 90 credits in total)
  • A dissertation (60 credits)

The core module is taught within the Department of Sociology, and provides an introduction to critical contemporary sociological conceptualisations of culture, presenting opportunities for the development and exploration of interdisciplinary perspectives on the analysis of contemporary cultural processes. 

In addition to the core module, you also study three option modules (or equivalent). One of these must be chosen from Sociology; the others may be taken from departments across Goldsmiths including the Departments of AnthropologyEnglish and Comparative LiteraturePolitics and Media and CommunicationsMusicEducational Studies, and the Centre for Cultural Studies

You also write a Dissertation for which you meet for individual supervision with a member of the Sociology staffand participate in Dissertation workshops.

As a full-time student, you would normally complete the core module and one option in the Autumn term, and two further options in the Spring term. As a part-time student you will spread these over two years. Core and option modules are normally taught by one hour lectures, followed by one hour seminars.

Core module

Option modules

You have 90 credits at your disposal; of these, 30 credits must be taken from within the Department of Sociology. You can choose either one regular option (30 credits) or two 'mini options' (2 x 15 credits) from the department's extensive list

For your other options, you can choose modules from the following Departments across Goldsmiths. Not all modules are suitable for students from all academic backgrounds; you will discuss your choices with the Programme Convenor at the start of your degree.

Dissertation

For your Dissertation you'll meet for individual supervision with a member of the Sociology staff and participate in Dissertation workshops led both by staff and students (based on presentation and discussion of your work in progress). The dissertation is a substantive piece of research, empirical or theoretical, on a topic of your choice.

Assessment

Assessment consists of coursework, extended essays, reports, presentations, practice based projects or essays/logs, group projects, reflective essays, and seen and unseen written examinations.

Postgraduate Diploma (PgDip) and Postgraduate Certificate (PgCert) awards are also available in this programme. For the award of Postgraduate Diploma, you would need to successfully complete the core module and option modules to the value of 120 CATS; for the Postgraduate Certificate you would need to successfully complete the core module and option modules to the value of 60 CATS. Please note that these are exit awards; if you successfully complete the whole programme you'll be awarded an MA.

Skills & careers

You'll develop the following skills during the programme:

  • advanced analytical skills
  • the ability to evaluate complex theoretical positions and to deploy those within appropriate formats and frameworks

Recent graduate have embarked on professional careers in social research, thinks tanks, the arts and cultural sectors, government and public administration, development, human rights, NGOs, and in media an dcommunications globally. They have also progressed to PhD study.

 Find out more about employability at Goldsmiths



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Expand your career potential. The property sector is Australia’s largest industry and second largest employer. Read more

Expand your career potential

The property sector is Australia’s largest industry and second largest employer. Fulfilling the residential and non-residential needs of Australia continues to remain a priority and requires employers to hire graduates with the capabilities and skills to work in a dynamic and unpredictable market. Now more than ever, graduates must combine their knowledge and skills with the advancements in technology to remain competitive.

Prepare yourself with knowledge and technical skills for a career within global property related industries and professions. The Master of Valuation and Property Development ensures graduates can demonstrate an integrated understanding of the complex body of property knowledge and skills in this field.

Intensive mode delivery

The Master of Valuation and Property Development is professionally recognised by some of Australia’s leading professional bodies. This allows graduates to differentiate themselves within the industry.

Further, the program is also delivered in intensive mode. Intensive Mode Delivery is a compact and time efficient way to complete a postgraduate qualification with minimal impact on professional and personal lifestyles. Subjects are generally delivered over two weekends during the semester with two sets of three-day sessions per subject, usually scheduled as Thursday to Saturday (approximately six to eight contact hours per day) with a break of four or five weeks between session one and session two of each subject.

Participants will receive 40 hours of combined lectures, discussion groups, case studies and workshops during contact hours. International students are required to be on campus every week.

About the program

The Master of Valuation and Property Development provides a wide range of skills that can be applied to global property markets. This program is designed to equip graduates with strong knowledge and advanced technical skills applicable to a variety of career paths such as investment, finance, asset management and research. The curriculum addresses a range of topics including finance and taxation, corporate portfolio management, risk identification and management, feasibility analysis, law, property valuation and market analysis. This degree provides the opportunity to specialise in Property Valuation.

Structure and subjects

View the Master of Valuation and Property Development - Program Structure and Sequencing

The structure of the Master of Valuation and Property Development is based on theoretical and practical subjects. This program is designed in close consultation with prominent industry professional boards to ensure the integrity and contemporary relevance of the degree.

This program enables graduates to exit after four subjects with a graduate certificate, after eight subjects with a graduate diploma or complete 12 subjects for a master’s degree.

Graduate Certificate of Valuation and Property Development (4)

Select two (2) of the following subjects:

 Plus select two (2) electives subjects offered by the Faculty.

Graduate Diploma of Valuation and Property Development (8)

Select four (4) of the following subjects:

Plus select four (4) elective subjects offered by the Faculty.

Master of Valuation and Property Development (12 subjects)

To complete a Master of Real Estate you must complete all of the following subjects:

Plus select four elective subjects by the Faculty.

Property Valuation specialisation

You may use the four (4) electives to specialise in Property Valuation. Completion of these subjects will result in recognition by the Australian Property Institute (API), and additional career opportunities in the property industry.

You must select (compulsory for API accreditation):



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What do Facebook, the financial system, Internet or the brain have in common?. "Everything is connected, all is network". Read more
What do Facebook, the financial system, Internet or the brain have in common?

"Everything is connected, all is network"
From the underlying skeleton of social relations, the interdependent evolution of our financial system, to the emergent collective computation in the brain, most of the complex systems that appear in society, technology, and nature are ultimately characterised by a nontrivial pattern of inter-relations. This underlying architecture is in turn shaping how information diffuses and spreads, how resilient the system is against attacks or perturbations, or how complex patterns emerge at the systemic level from the aggregation of seemingly simple individuals.

Our MSc Network Science will provide a thorough grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in systems and networks modelling industries, spanning the IT, financial, and biomedical sectors, that are now requiring such specialist knowledge and skills.

Network Science is a very active and rapidly evolving research field with high societal impact, which stands at the crossroads of graph theory, complexity and data analysis. Addressing the description and modelling of the architecture and dynamics of complex systems -systems composed by many interacting units that show collective behaviour- it stands as a new kind of science to cope with some of the most challenging endeavours we face today, in an ever increasingly more connected society.
Its impact and applications outside academia pervades technological sectors such as communications and infrastructures (Internet, transportation networks, energy networks, urban mobility), finance (financial risk and systemic instability, financial networks, interbank cross-correlations), marketing and IT (social media, data analytics), public health (epidemic spreading models), or biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), to cite a few. This specialist masters programme aims at providing graduate students and professionals with a rigorous training in the underlying mathematical concepts, the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed towards students with a mathematical background who wish to enter a career involving analysis and optimisation of diverse kinds of networks, networked dynamics and models.

Why study your MSc Network Science at Queen Mary?
This is a pioneering MSc in the UK, a joint programme, taught by our Schools of Mathematical Sciences, and Electronic Engineering and Computer Science, drawing on their strengths in research and teaching in the area of complex networks, mathematical modelling of complex systems, and data mining.

We teach what we know and what we do best. Within the School of Mathematics, the Complex Systems & Networks group is one of the biggest hubs in Network Science within the UK, where we address both fundamental and applied challenges in the mathematical modelling of complex systems with clear societal impact, in collaboration with several industrial stakeholders. Within the School of Electronic Engineering, the Networks group was founded in 1987, and has hugely expanded ever since, bringing their expertise in online social networks, data mining and cloud computing. The coalescence of both groups expertises has fostered the creation of this unique MSc.

More about our two schools

Queen Mary is a member of the prestigious Russell Group of leading UK universities, combining world-class research, teaching excellence and unrivalled links with business and the public sector. The School of Mathematical Sciences has a distinguished history on itself. We have been conducting pioneering mathematical research since the 1950s, and as one of the largest mathematical departments in the UK, with over 50 members of staff, the school can offer diverse postgraduate study opportunities across the field, from pure and applied mathematics, to finance and statistics. Along with the MSc in Network Science, our cohort of postgraduate students specialise in Mathematics and Statistics, Mathematical Finance and Financial Computing. We are one of the UK’s leading universities in the most recent national assessment of research quality, we were placed ninth in the UK (REF 2014) amongst multi-faculty universities. This means that the teaching on our postgraduate programmes is directly inspired by the world-leading research of our academics. Our staff includes international leaders in many areas of mathematical research, and the School is a hive of activity, providing a vibrant intellectual space for postgraduate study.

The School of Electronic Engineering and Computer Science is internationally recognised for their pioneering and ground-breaking research in several areas including machine learning and applied network analysis. This expertise uniquely complements the more theoretical knowledge offered by the School of Mathematical Sciences, providing a well balanced mix of theory and applications and offering a deep and robust programme that combines the foundations of the mathematics of networks with the latest cutting edge applications in real world problems.

Additionally, Queen Mary holds a university-level Bronze Award for the Athena SWAN Charter, which recognises and celebrates good employment practice for women working in mathematics, science, engineering and technology in higher education and research.

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The Master of Professional Business Analysis is a conversion programme designed for graduates outside the ICT sector who want to become business analysts. Read more

The Master of Professional Business Analysis is a conversion programme designed for graduates outside the ICT sector who want to become business analysts.

The Master of Professional Business Analysis (MBusAn) degree has been developed as a component of the Wellington ICT Graduate School created by Victoria University and its partners. The programme is closely linked with industry requirements and courses are offered with industry collaboration.

Degree structure

The Master of Professional Business Analysis (MBusAn) consists of 10 taught courses plus a project taken full-time over 12 months, starting in July (Trimester 2) of each year.

Courses in the first part of the programme are organised around seminars where students learn about the latest theoretical advances, and apply these to a case which mirrors the challenges and complexities of a real-world business.

In the second part of the programme, courses are organised as clinics and students work directly with industry partners in a workshop setting, examining real business problems, and the final project requires significant time working with an industry partner, under the supervision of an academic.

Course descriptions

The Master of Professional Business Analysis is a 180-point degree consisting of ten 15-point courses and a 30-point project, as follows:

Part 1 Core business analysis courses (total 90 points)

  • MBUA 510 Business and Systems Analysis
  • MBUA 511 Process Design
  • MBUA 512 Databases and Analytics
  • MBUA 513 Management of IT Projects for Business Analysts
  • MBUA 514 Enterprise Architecture
  • MBUA 515 Information Systems Innovation and Strategy

Part 2 Business environment (total 45 points)

  • MBUA 521 Global Business Environment
  • MBUA 522 Organisational Behaviour
  • MBUA 523 Accounting for Managers

Part 3 Project and consulting skills (total 45 points)

  • MBUA 531 Information Systems Consulting Practice
  • MBUA 532 Project (30 points)

Courses will be centred on practical problem-solving tasks, and typically will start with a problem described in a case or directly by an industry partner. The courses will enable students to apply the various concepts seen in the classroom to the industry problem during the trimester.

In addition, it is expected that the 30-point project, MBUA 532, will be used to build on the knowledge covered in the courses. Projects are seen as an "industry intensive period", enabling students to reflect on how the academic content can be applied to a complex situation.

Career opportunities

The MBusAn programme seeks to provide capabilities to students to meet the shortage of skills observed in the ICT sector.

In 2017, business analysts still topped the list of skills in demand 

646KB according to the latest Tech Employer Insight Report (Absolute IT, March 2017), with 79% of tech employers planning to hire in the coming year and more than half planning pay increases for existing staff.



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What do Facebook, the financial system, Internet or the brain have in common?. All are connected in a network. Read more
What do Facebook, the financial system, Internet or the brain have in common?

All are connected in a network. From the underlying skeleton of social relations, the interdependent evolution of our financial system, to the emergent collective computation in the brain, most of the complex systems that appear in society, technology, and nature are ultimately characterised by a nontrivial pattern of inter-relations. This underlying architecture is in turn shaping how information diffuses and spreads, how resilient the system is against attacks or perturbations, or how complex patterns emerge at the systemic level from the aggregation of seemingly simple individuals.

Our MSc in Network Science will provide a thorough grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in systems and networks modelling industries, spanning the IT, financial, and biomedical sectors, that are now requiring such specialist knowledge and skills.

Network Science is a very active and rapidly evolving research field with high societal impact, which stands at the crossroads of graph theory, complexity and data analysis. Addressing the description and modelling of the architecture and dynamics of complex systems -systems composed by many interacting units that show collective behaviour- it stands as a new kind of science to cope with some of the most challenging endeavours we face today, in an ever increasingly more connected society.
Its impact and applications outside academia pervades technological sectors such as communications and infrastructures (Internet, transportation networks, energy networks, urban mobility), biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), public health (epidemic spreading models), marketing and IT (social media, data analytics) to cite a few. This specialist masters programme aims at providing graduate students and professionals with a rigorous training in the underlying mathematical concepts, the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed towards students whose undergraduate degree is in mathematics or a cognate discipline who wish to enter a career involving analysis and optimisation of diverse kinds of networks, networked dynamics and models.

Why study your MSc Network Science at Queen Mary?
This is a pioneering MSc in the UK, a joint programme, taught by our Schools of Mathematical Sciences, and Electronic Engineering and Computer Science, drawing on their strengths in research and teaching in the area of complex networks, mathematical modelling of complex systems, and data mining.

We teach what we know and what we do best. Within the School of Mathematics, the Complex Systems & Networks group is one of the biggest hubs in Network Science within the UK, where we address both fundamental and applied challenges in the mathematical modelling of complex systems with clear societal impact, in collaboration with several industrial stakeholders. Within the School of Electronic Engineering, the Networks group was founded in 1987, and has hugely expanded ever since, bringing their expertise in online social networks, data mining and cloud computing. The coalescence of both groups expertises has fostered the creation of this unique MSc.

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The revolution in genetic mapping technology and the advent of whole genome sequences has turned quantitative genetics into one of the fastest growing areas of biology. Read more

The revolution in genetic mapping technology and the advent of whole genome sequences has turned quantitative genetics into one of the fastest growing areas of biology.

Quantitative Genetics & Genome Analysis is part of a suite of programmes offering specialist routes in Animal Breeding & Genetics, Evolutionary Genetics, or Human Complex Trait Genetics.

Based in the internationally renowned Institute of Evolutionary Biology, this MSc draws from the wealth of expertise available there, as well as the teaching, research expertise and facilities of Scotland’s Rural College, the University’s Centre for Molecular Medicine, the Medical Research Council’s Human Genetics Unit and the Roslin Institute (birthplace of Dolly the sheep).

Each year the syllabus is fine-tuned to suit current issues in evolutionary, plant, human and animal genetics.

Applicants who wish to select their area of specialisation during the programme should apply for this umbrella programme. Applicants with a preferred programme option should apply via the following links:

Programme structure

This programme consists of two semesters of taught courses followed by a research project, leading to a dissertation.

Compulsory courses

  • Population and Quantitative Genetics
  • Genetic Interpretation
  • Statistics and Data Analysis
  • Linkage and Association in Genome Analysis
  • Research Proposal
  • Dissertation

Option courses (selected according to degree specialisation):

  • Quantitative Genetic Models
  • Molecular Evolution
  • Genetics of Human Complex Traits
  • Animal Genetic Improvement
  • Functional Genomic Technologies
  • Molecular Phylogenetics
  • Bioinformatics
  • Evolutionary Quantitative Genetics

Career opportunities

You will develop the in-depth knowledge and specialised skills required to apply quantitative genetics theory to practical problems, in both the biomedical and animal science industries, and to undertake research in evolutionary genetics, population genetics and genome analysis.



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The revolution in genetic mapping technology and the advent of whole genome sequences have turned quantitative genetics into one of the fastest growing areas of biology. Read more

The revolution in genetic mapping technology and the advent of whole genome sequences have turned quantitative genetics into one of the fastest growing areas of biology.

Based in the internationally renowned Institute of Evolutionary Biology, this MSc draws from the wealth of expertise available there, as well as the teaching, research expertise and facilities of Scotland’s Rural College, the University’s Centre for Molecular Medicine, the Medical Research Council’s Human Genetics Unit and the Roslin Institute (birthplace of Dolly the sheep).

Each year the syllabus is fine-tuned to suit current issues in evolutionary, plant, human and animal genetics.

This programme forms part of the quantitative genetics and genome analysis suite of programmes offering specialist routes, which include Animal Breeding & Genetics and Evolutionary Genetics.

Programme structure

This programme consists of two semesters of taught courses followed by a research project, leading to a dissertation.

Courses are taught via lectures, tutorials, seminars and computer practicals. Assessment is by written examinations, in-course assignments and project work.

Compulsory courses:

  • Population and Quantitative Genetics
  • Genetic Interpretation
  • Linkage and Association in Genome Analysis
  • Genetics of Human Complex Traits
  • Quantitative Genetic Models
  • Statistics and Data Analysis
  • Research Project Proposal
  • Dissertation.

Option courses:

  • Molecular Phylogenetics
  • Bioinformatics
  • Molecular Evolution
  • Quantitative Genetic Models
  • Functional Genomic Technologies
  • Animal Genetic Improvement
  • Evolutionary Quantitative Genetics

Learning outcomes

You will gain the knowledge and skills required to apply quantitative genetics theory to practical problems in the biomedical industry, and to undertake research in quantitative and population genetics and genome analysis.

  • A thorough understanding of general concepts in population and quantitative genetics and genomics
  • In-depth knowledge of complex trait genetics in humans
  • A solid grounding in the statistical methods required for quantitative biology
  • Development of independent research skills through individual mini- and maxi-research projects
  • Development of generic skills (IT skills, experience in writing scientific papers, the ability to work independently)
  • Presentation skills through student seminars, scientific presentation of project work and independent research projects.

Career opportunities

You will develop the in-depth knowledge and specialised skills required to apply quantitative genetics theory to practical problems, in both the biomedical and animal science industries, and to undertake research in evolutionary genetics, population genetics and genome analysis.



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The course has been developed to enable you to develop advanced knowledge and skills in the following areas. i) Business Analytical Methods and Information Technology. Read more
The course has been developed to enable you to develop advanced knowledge and skills in the following areas:
i) Business Analytical Methods and Information Technology
ii) Business Problem Structuring and Solving
iii) Consultancy Skills in the Business Environment

These themes are explored through modules in Business Analytics, Computer Simulation, Creative Problem Solving, Consultancy Skills and Business Statistics. The course also includes a project based module where you will solve a problem for a client using the knowledge and skills acquired during your study. There is then a further applied consultancy project, which allows you to independently research, investigate and analyse a current business problem.

About the course

The course focuses on:
-Computational, mathematical, philosophical and management science approaches to business analysis
-Developing problem solving skills
-Enhancing your ability to use business software and other information technology
-Encouraging independent and creative thinking
-Effective communication in all formats appropriate to a business environment

Why choose this course?

This Master's in Business Analysis and Consultancy aims to provide you with the analytical knowledge and skills required to be a successful consultant in the modern business environment.

Three key reasons to study Business Analysis and Consultancy at the Hertfordshire Business School:
-It is a hands-on, practical programme
-It is client-facing so it counts as work experience
-It is a unique programme, informed by the latest research and consultancy in the area

You will gain experience of applying these skills to real consultancy (working with a local organisation) in the complex context in which organisations operate. You will also experience a range of teaching, learning and assessment methods, which will enable you to gain - and be confident in - the skills of modelling, analysis and consulting. All this should directly improve your employment prospects.

The programme is delivered by the Business Analysis and Statistics (BAS) group at Hertfordshire Business School. The BAS group is very strong in the areas of Business Analytics and Consultancy, and its members have diverse experience and expertise in mathematical, computational and philosophical methods of analysis. The group is home to the Statistical Services and Consultancy Unit which does commercial consultancy carried out by members of the group. The course is informed by the cutting edge research undertaken by members of the group.

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This is an advanced professional development programme for psychology and social science graduates and professionals. Through this programme you will undertake analysis of issues appertaining to the care and progression of individuals with developmental disabilities. Read more

This is an advanced professional development programme for psychology and social science graduates and professionals. Through this programme you will undertake analysis of issues appertaining to the care and progression of individuals with developmental disabilities. You will assess different types of interventions and will have the opportunity to engage with disability service providers and users. You will gain detailed knowledge and understanding of:

  • definitions and epidemiology of intellectual disability
  • cognitive, communicative and social characteristics of people with intellectual disabilities
  • biological, social and environmental causes of intellectual disability
  • behaviour analysis
  • challenging behaviour and other special needs
  • ideology, policy and service development
  • definition and measurement of service quality
  • the relationships between service organisation and quality
  • research methodology and basic statistical analysis

Course structure

Coursework is taught through a mixture of web-based resources, directed reading, videos, lectures, seminars and practical sessions, supported by a number of workshops, where you work with skilled professionals and have the opportunity to share ideas and experiences with fellow students. You will also undertake practical work placements which are assessed by written reports as well as having the opportunity to complete a piece of original research with your Research Project.

Modules

The following modules are indicative of those offered on this programme:

  • Social psychology of intellectual and developmental disabilities
  • Behaviour analysis and intervention
  • Service issues in intellectual and developmental disabilities
  • Research methods

Knowledge and understanding

You will gain knowledge and understanding of:

  • definitions and epidemiology of intellectual disability
  • cognitive, communicative and social characteristics of people with intellectual disabilities
  • biological, social and environmental causes of intellectual disability
  • behaviour analysis
  • challenging behaviour and other special needs
  • ideology, policy and service development
  • definition and measurement of service quality
  • the relationships between service organisation and quality
  • research methodology and basic statistical analysis 

Transferable skills

You will gain the following transferable skills:

  • communication: the ability to organise information clearly and respond to written sources
  • numeracy: if you are doing the statistical element of the research methods module, you will make sense of statistical materials and integrate quantitative and qualitative information. You will also become familiar with ways of summarising and presenting data
  • information technology: the ability to produce written documents, undertake online research
  • working with others: the ability to work co-operatively on group tasks both within the virtual learning environment and during the residential workshops
  • improve your own learning: the ability to explore your strengths and weaknesses, time management skills and review your working environment
  • problem-solving: the ability to identify and define complex problems, explore alternative solutions and discriminate between them.

Dynamic centre of expertise

This programme is taught by the University's renowned Tizard Centre. An annual seminar series runs at which staff or guest lecturers present the results of research or highlight recent developments in the field of social care. The Jim Mansell Memorial Lecture invites public figures or distinguished academics to discuss topics that could interest a wider audience. The Centre also publishes the Tizard Learning Disability Review (in conjunction with Emerald Publishing) to provide a source of up-to-date information for professionals and carers.

The Tizard Centre provides consultancy to organisations in the statutory and independent sectors, both nationally and internationally, in diversified areas such as service assessment, person-centred approaches, active support and adult protection..

Careers

Our postgraduate courses improve employability prospects for both those with established careers and new entrants to the field. Many of our students already work with people with intellectual and developmental disabilities in professional, management or supporting capacities.

Our programmes support their continuing professional development and enhance their opportunities for career advancement. Other students, who are at the beginning of their careers, move on to a range of professional roles in health and social care including working as psychologists in learning disability or behavioural specialists in community learning disability teams; service management of development roles; clinical psychology training or a PhD.

Career destinations include working as a consultant behaviour analyst, carer co-ordinator, service care manager, special needs teacher, quality officer, ABA tutor and research assistant in various health care organisations such as Dimensions UK Ltd, Care Management Group, Consensus Support Services, Mencap and Ambitious About Autism.

Why study at the University of Kent

We offer inspirational teaching and supervision alongside first-class library and IT facilities. You also benefit from our high-impact research in all subjects. Whatever you are looking to study, Kent provides a dynamic and challenging environment for your postgraduate studies.

  • Kent was awarded gold, the highest rating, in the UK Government’s Teaching Excellence Framework
  • Kent is ranked 21st in the Times Higher Education (THE) ‘Table of Tables’ 2017
  • Kent is ranked 25th in the Complete University Guide 2018
  • Kent is ranked 22nd in the Guardian University Guide 2018
  • 42% of our academics are from overseas and we have students representing 158 nationalities
  • In the most recent research rankings, 97% of research at Kent was found to be of international quality (REF 2014)
  • Kent is ranked 17th in the UK* for research intensity and research output (REF 2014)

Find out more: https://www.kent.ac.uk/courses/postgraduate/why-kent/

* of 122 universities, not including specialist institutions



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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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Our International Financial Analysis MSc develops an in-depth understanding of financial reporting and management in the context of the international financial environment. Read more
Our International Financial Analysis MSc develops an in-depth understanding of financial reporting and management in the context of the international financial environment.

The global economic crisis, high-profile banking failures and increased regulatory supervision have highlighted the importance of sound financial management and robust reporting. This course has been developed specifically to meet this need.

It provides you with quantitative and qualitative skills of analysis. You will also understand how accounting and finance expertise may be successfully combined to assess corporate performance and valuation.

The course is aimed at management, business or economics graduates, who would like to gain a more specialist knowledge of issues related to financial analysis. It is also suitable for non-business graduates with good numeracy levels who wish to develop financial skills and understanding.

The course also covers many relevant topics for those intending to study for the Chartered Financial Analyst (CFA) exams.

What you'll learn

You will analyse individual companies from an external perspective with substantial emphasis placed on:
-Corporate strategy
-Accounting
-Valuation

You will undertake practical studies of real world data via DataStream and other industry sources, in order to develop skills in the manipulation of financial and statistical software.

Your dissertation consolidates this learning, as it takes the form of an analyst's report on a major corporation. You will prepare a report on a company of your choice, analysing financial and accounting data, strategy and corporate governance. You will conclude with a valuation of the company itself.

Your development

On completion of this course, you will be able to show practical skills and the ability to:
-Deal with complex issues both systematically and analytically
-Use this analysis to make sound judgements around investment management
-Analyse quantitative data used for operational decision making
-Critically engage with contemporary debates on financial theory
-Apply, with originality and creativity, the knowledge, skills and understanding gained on the course to complex issues within the finance sector.

Course accreditation

This course is accredited by the Association of Chartered Certified Accountants (ACCA) and the Association of International Accountants (AIA). It provides you with eight exemptions from the following professional examination papers:
-F1, F2, F3 and F9 from ACCA
-Paper 1, Paper 2 and Paper 11 from AIA

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