Masters Degrees (Sas)

About the course

Data is being collected at an unprecedented speed and scale – but 'big data' is of little use without 'big insight'. The skills required to develop such insight are in short supply and the shortage of skilled workers in the data analytics market is cited as a key barrier.

The Data Science and Analytics MSc programme provides these skills, combining a strong academic programme with hands-on experience of leading commercial technology – and the chance to gain industry certification.

You will develop both your critical awareness of the state-of-the-art in data science and the practical skills that help you apply data science more effectively in the business, science and social world.

The programme is run in conjunction with SAS, a market leader in business analytics software and services, and the largest independent vendor in the business intelligence market.

Brunel's programme is unique in being the only current MSc programme that is fully integrated with SAS, providing the SAS base certification.

Aims

The Harvard Business Review calls data science the “sexiest job of the 21st century” – with demand for graduates with SAS skills rapidly rising across financial, retail and government sectors. Data science is now in vogue.

From government, social networks and ecommerce sites to sensors, smart meters and mobile networks, data is being collected at an unprecedented speed and scale – creating an expanding job market for qualified data analysts.

The practical aspects of many of the modules will allow you to gain hands-on experience of several commercial SAS tools (e.g. SAS BASE, Enterprise Guide, Enterprise Miner and Visual Analytics). This experience is designed, in part, to develop skills in preparation for the SAS certification part of the programme.

By the end of the course you should be able to:

Comprehend the key concepts and nuances of the disciplines that need to be synthesised for effective data science.
Demonstrate a critical understanding of the challenges and issues arising from taking heterogeneous data at volume and scale, understanding what it represents and turning that understanding into insight for business, scientific or social innovation (i.e. data science).
Develop a practical understanding of the skills, tools and techniques necessary for the effective application of data science.
Apply a practical understanding of data science to problems in social, business and scientific domains.
Evaluate the effectiveness of applied data science in relation to the issues addressed.

Course Content

Your studies on the course will cover the modules listed below. The practical aspects of many of the modules will allow you to gain hands-on experience of several commercial SAS tools (e.g. SAS BASE, Enterprise Guide, Enterprise Miner and Visual Analytics). That experience is designed, in part, to develop skills for the SAS certification that partners the programme.

Typical Modules:

Digital Innovation
Quantitative Data Analysis
High Performance Computational Infrastructures
Systems Project Management
Big Data Analytics
Research Methods
Data Visualisation
Learning Development Project
Dissertation

Special Features

SAS Certification
As an integral part of the programme, you will gain hands-on experience of commercial SAS tools – SAS being the market leader in business analytics software and services, and the largest independent vendor in the business intelligence market.
You will have the opportunity to obtain SAS certification (e.g. SAS Base Programming) which is a recognised industry qualification, following a two week SAS certification ‘boot camp’ preparation course.

Women in Engineering and Computing Programme

Brunel’s Women in Engineering and Computing mentoring scheme provides our female students with invaluable help and support from their industry mentors.

Teaching

Module are typically presented in a mixture of lecture and seminar/lab format. However, where appropriate other teaching methods will also be incorporated. All our learning environments are supported by the market leader in Virtual Learning Environments (VLE), the BlackboardLearn system.

Assessment

Your learning will be evaluated through a combination of in module assessments and more traditional exams, with module specific assessments – for example, presentations within the Learning Development Project.

Read less

About the course

Businesses now frequently possess and want to exploit huge, high volume, varied dynamic data sets, known as big data. Analytics is a subset of what has become to be called Business Intelligence. This is a set of technologies and processes used to understand data and analyse business performance.

Data Analytics MSc, developed and run with SAS, has been specifically designed to equip you with the skills and abilities to address this shortage. On successful completion of the course you will have developed your analytic and technical knowledge, and enhanced your professional skills within a Business Intelligence context.

You will be equipped with the relevant skills for employment in any field of data science (such as business intelligence, data mining, SAS programming and database design) within any target industry, with the additional option to complete a placement year in industry to further enhance your employability.

There is a growing need for professionals who can combine both analytical and software techniques in appropriate ways to allow the processing of ‘big data’. Data Analytics MSc is designed to provide these analytics and processing skills embedded within a business intelligence context.

Reasons to study:

• Taught by SAS accredited teaching staff
you will be taught by experienced SAS accredited teaching staff providing you with expert knowledge and skills

• Developed to fill skills shortage
course content has been developed to enhance your employability and gain substantial knowledge and equipping you with the skills required in for the use of the SAS software as well as Hadoop Distributed File System (HDFS) in industry

• 50 years history of research and teaching in computing technology
benefit from our well established academic expertise and advance your skills in, and knowledge of, data analytics to business problems

• Industry placement opportunity
you can chose to undertake a year-long work placement gaining valuable experience and skills as well as networking opportunities to build your industry contacts

• Excellent graduate prospects
equipped with the relevant skills for business intelligence and data mining roles including SAS Programming, Database Design and Business Intelligence

Course Structure

Modules

First semester (September to January)

• Statistics
• Fundamentals of Business Intelligence Systems
• Analytics Programming
• Data Warehouse Design and OLAP

Second semester (February to May)

• Business Intelligence Systems Application and Development
• Big Data Analytics
• Data Mining
• Research Methods

Third semester (June to September)

• Individual project

Teaching and Assessment

Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.

The course is run in association with SAS, the leading independent vendor in the business intelligence industry, and you will gain substantial SAS software skills as part of your study.

First semester modules provide you with fundamental abilities in the use of statistics so that you can gain insights and practice of using business intelligence systems and analytics programming to exploit multidimensional data sets.

In the second semester you are exposed to a variety of business intelligence systems, including those that use big data and data mining techniques. A further module prepares students to undertake an individual research project. This project module allows you to undertake extensive research into an aspect of big data, and/or provides an opportunity to develop and demonstrate your analytical and processing abilities in response to a given practical problem.

Contact and learning hours

You will normally attend 3 hours of timetabled taught sessions each week for each module undertaken during term time, for full time study this would be 12 hours per week during term time. You are expected to undertake around 24 further hours of independent study and assignments as required per week.

Industry Association

The Data Analytics MSc was developed and is run in conjunction with SAS. SAS is the world's largest independent business analytics company. It provides an integrated set of software products and services to more than 45,000 customer sites in 118 countries. Across the globe, both the public and private sector use SAS software to assist in their efforts to compete and excel in a climate of unprecedented economic uncertainty and globalization.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

Read less

Have you ever noticed the adverts down the side of your Facebook page or received an email promoting a product you were 'looking for'? Do you wonder how this happens? Business intelligence and the insight it provides is now at the forefront of driving companies' strategic decisions. It's vital for businesses to understand their performance but, more importantly, identify their future potential.

This course teaches you to utilise data that is available to an organisation and present this information in an accessible format which will enable decision makers within a company to plan for the future.

You will study modules that are accredited by SAS - an industry leader in developing business intelligence tools - and this unique relationship will build your knowledge of their systems, enhancing your skillset to analyse data.

Whether it's to improve products, processes, consumer relationships or target customers - firms across all industries and managers across all departments benefit from good business intelligence. We will equip you with the skills to analyse data systems, advise colleagues and take a leading role in shaping a company's decisions.

You will graduate with the ability to understand the data and its sources, design and implement a data warehouse, and be able to act upon this information to support the business strategy planning. We will develop your skills in predictive analysis, report writing, identifying patterns, and how outside factors and current issues can affect the findings.

- Research Excellence Framework 2014: our University demonstrated strength in five emerging areas of research which it entered into the assessment for the first time, including computer science.

Visit the website http://courses.leedsbeckett.ac.uk/businessintelligencesas_msc

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

Whether it's retail, insurance, banking, education, hospitals, police, medical research or the military - you will have the skills to help lead any business in any industry that uses business intelligence to make strategic decisions. If you already work in industry, possibly as a programmer or in IT, our course will help facilitate your career progression.

- Business Intelligence Analyst
- Test Consultant
- NHS Analytical Support Officer
- Corporate Performance Analyst

Careers advice:
The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

The NHS, banks and police are among those who already use SAS system tools, and you will have the opportunity to take the SAS test, a chance to become accredited to work on their systems.

SAS want to see a higher number of business intelligence graduates who possess more than just a background in maths and statistics - they also want strong computing skills. You will be one such graduate.

Guest speakers from the business intelligence industry will also improve your knowledge and understanding of how data can be used by companies to plan their next business move.

Professor Mohammad Dastbaz

Dean, Faculty of Arts, Environment and Technology

"We aim to provide innovation in curriculum, engagement with current industry practices and standards, and to give our students the experience of working with staff whose research has national and international reputation."

Mohammad is responsible for the strategic leadership of the Faculty of Arts, Environment and Technology,having joined our University in June 2011 from the University of East London. A well published researcher, with over 50 refereed conference and Journal publications, his research profile includes many funded research programmes including JISC and EU FP7 projects. Mohammad’s first degree was in Electrical and Electronic Engineering. He then went on to complete a PhD in the 'Design, Development and Evaluation of Multimedia Based Learning Systems' at Kingston University. In 1989 he set up one of the UK's first multimedia PC companies, 'Systems 2000'.

Facilities

- Library
Our Library is one of the only university libraries in the UK open 24/7 every day of the year. However you like to study, our Library has you covered with group study, silent study, extensive e-learning resources and PC suites.

- Headingley Campus
Broadcasting Place provides students with creative and contemporary learning environments, is packed with the latest technology and is a focal point for new and innovative thinking in the city.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

Read less

About the course

This MSc provides you with the knowledge and skills to effectively develop, apply and research business intelligence systems. These are computerised information systems that enable organisations to gain business intelligence information and typically include some form of data mining functionality.

This course emphasises the concepts and techniques of business intelligence systems and their application and development, which are underpinned and exemplified via the learning of one or more contemporary ‘best of breed’ business intelligence software tools.

Reasons to study:

• Taught by SAS accredited teaching staff
you will be taught by experienced SAS accredited teaching staff providing you with expert knowledge and skills allowing you to work toward your SAS accreditation

• SAS endorsed course
enhance your employability and gain substantial knowledge and skills in SAS business intelligence software leading towards SAS data miner accreditation

• 50 years history of research and teaching in computing technology
benefit from our well established academic expertise and advance your skills in, and knowledge of, developing business intelligence systems and data mining solutions to business problems

• Gain an insight into real world solutions
attend guest lectures and seminars, which will give you a real understanding of the impact of their work

• Excellent graduate prospects
graduates have gone into roles such as BI/SQL developers, logistics data modeller’s and insight analysts at organisations including Cognisco, LLamasoft and Occam DM

Course Structure

Modules

First semester (September to January)

• Fundamentals of Business Intelligence Systems
• Analytics Programming
• Data Warehouse Design and OLAP
• Research Methods

Second semester (February to May)

• Data Mining
• Business Intelligence Systems Application and Development

Plus two from the following list:
• Management of Information Systems
• Human Factors in Systems Design
• Applied Computational Intelligence
• Artificial Neural Networks

Third semester (June to September)

•The individual project module.

Teaching and Assessment

Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.

Compulsory taught modules give you the opportunity to gain the fundamental knowledge and practices required to apply, develop and research business intelligence systems, while optional modules provide you with chances to study particular aspects of system application and development in more depth.

The individual project module allows you to undertake research into an aspect of business intelligence systems that interests you, and/or to perform appropriate business intelligence development tasks in response to a given practical problem.

Contact and learning hours

Full-time students will normally attend around 16 hours of timetabled taught sessions per week, and can expect to undertake around 24 further hours of self-directed independent study and research to support your assignments and dissertation.

Industry Association

This course was developed and is run in conjunction with SAS. SAS is the world's largest independent business analytics company. It provides an integrated set of software products and services to more than 45,000 customer sites in 118 countries. Across the globe, both the public and private sector use SAS software to assist in their efforts to compete and excel in a climate of unprecedented economic uncertainty and globalization.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

Read less

IN BRIEF:

• Study a course that is unique in the UK and has been specifically developed to meet the skills gap. Course content can be applied to very diverse fields- there are many job opportunities in this area.
• Gain SAS certification.
• Learn to tell a story from data. Become immersed in Big Data techniques and platforms, working with real-world messy data to gain experience across the data science stack.
• Part-time study option
• International students can apply

COURSE SUMMARY

Have you ever wanted to ‘Mung’ data? Apply Machine Learning techniques? Search for hidden patterns? Be part of Big Data?      

This course is your opportunity to specialize as a Data Scientist, one of the most in demand roles across all sectors including health, retail, and energy. Companies such as Google and Microsoft, and also public organisations such as the NHS are struggling to fill their vacancies in this field due to    a  lack of suitably qualified people. This course is unique in the UK in that it has been developed as a MSc conversion course – if you have a good honours degree in any discipline with a demonstrable mathematical aptitude, an enquiring mind, a practical and analytical approach to problem solving,    and  an ambition for a career in data science; then this course is for you.    

During your time with us, you will develop an awareness of the latest developments in the fields of Data Science and Big Data including advanced databases, data mining and big data tools such as Hadoop. You will also gain substantial knowledge and skills with the SAS business intelligence software suite  due  to    the  partnership of the University with the SAS Student Academy.  

"We are especially pleased to endorse the new MSc in Data Science. With the explosion of interest and investment in data science teams, our customers cannot get enough graduates with SAS-based analytical skills. Courses such as this new MSc are an important step forward by the University to addressing this skills shortage, especially amongst home students." - SAS

COURSE DETAILS

This course covers a very comprehensive range of topics split in to four large modules worth 30 credits each plus the MSc Project worth 60 credits. External speakers from blue-chip and local companies will give seminars to complement your learning, that will be real-world case studies related to the subjects you are studying in your modules. These are designed to improve the breadth of your learning and could lead to ideas that you can develop for your MSc Project.

TEACHING

The course is focused around the underpinning knowledge and practical skills needed for employment within the data sciences industry. There will be 22 hours of lectures; 11 hours of tutorials and 22 hours workshops; 2 hours of examination-based assessment; and 245 hours of independent study, assessed coursework and preparation for examination. This makes a total of 300 hours total learning experience.

• Lectures will be used to introduce ideas, and to stimulate group discussions.
• Tutorials will be used to develop problem solving strategies and to provide practice and feedback with scenarios to help with exam preparation.
• Workshops will be used to develop expertise in SAS tools, by analysing example datasets of increasing complexity.

ASSESSMENT

• 50% of the assessment will comprise a practical project where students will be given some data, will devise and carry out an analysis strategy and will present their interpretations and explain their strategy. 
• 50% will comprise an examination, which will assess more theoretical aspects of the course and will explore students’ immediate response to unseen scenarios or data.

CAREER PROSPECTS

A recent report by e-Skills and SAS (Big Data Analytics: An assessment of the demand for labour and skills, 2012-1017) indicates the demand forecast for staff with big data skills is predicted to ”rise by 92% between 2012 and 2017, and by 2017 there will be at least 28,000 job openings for big data staff in the UK each year…”

With this qualification, you’ll be equipped with the skill set and technical knowledge relevant for the data science and big data job market.

FURTHER STUDY

The Informatics Research Centre in the School of Computing, Science and Engineering at the University of Salford builds on the history, success and achievements of the research in Computer Science and Information Systems developed at the University of Salford over the last thirty years.

Evolving around Data and Information in all their types and usages, the Centre covers all phases and processes from data pre-processing to engineering and visualisation. The Centre is developing novel methods and systems for the analysis and recognition of various data sets, learning behaviours and causal models. The techniques and systems developed have a wide range of potential applications including digitisation of historical documents, medical diagnosis, semantic tagging, segmentation of types of viewers and their behaviours, text mining and retrieval and data visualisation.

Forensic computing, digital investigation and Cyber security is another area of expertise supported by the centre both at the theoretical and application levels.

Many students go on to further research in the fields of:

• Actionable Knowledge Discovery and Semantic Web
• Software Engineering and applications
• Big Data, Data Mining and Analytics
• Image and document processing and analysis
• Cyber Security and Forensics
• Information visualisation and virtual environments

FACILITIES

Facilities include a new Dell Cloud Computing platform with OpenStack and lab workstations, providing access to software platforms and languages specialized in Machine Learning, Data Mining, Statistical Analysis and Big Data including:

• R, SAS Enterprise Guide & Miner, Python, Apache Hadoop & Spark, RapidMiner
• NoSQL databases ie MongoDB

Read less

Big data is the description used to encompass the huge amounts of data that is common to many businesses. It has been described as the next frontier for innovation, competition and productivity in business. It is essential for companies to embrace so that they can understand their customers better, develop new products and cut operational costs.

This course has been developed to create graduates who can become data scientists capable of working with the massive amounts of data now common to many businesses. It is aimed at people who want to move into this rapidly expanding and exciting area.

The modules on this course help you develop the core skills and expertise needed by the data scientist. The course can be split into three main areas, statistics, computing and management.

In the statistics section you study modules on data mining and data modelling. These modules cover the three main data areas, which are ensuring that data is reliable and of a high quality, searching the data to discover new information and presenting interpretations of that data to the end user.

The computing section covers areas related to data integration, massive datasets stored in the cloud, how data is stored and utilised within the distributed systems of an enterprise and how organisations can utilise data to change and improve business processes.

The management modules are focused on developing your core skills around professionalism and research. All of which are valuable skills during your university studies and in your career.

Our partnerships with business inform the course design, ensuring the content is relevant, up to date and meets the needs of industry. These partnerships also enable the inclusion of some leading edge software such as SAS, SAP Hana, and Hadroop within the course. You may be able to study abroad as part of the Erasmus programme.

Key areas of study

Key areas of study include • data quality and analysis • technologies to store and mine data • professionalism and research

Professional recognition

This course includes the SAP Business Intelligence with SAP BW 7.3 and SAP BI 4.0 e-academy (UB130e). You also have the opportunity to sit the SAP certification exam and the SAS 9 base certification exam.

Sheffield Hallam is a member of the SAS Student Academy, the SAP Student Academy and founding member of the SAP University Alliance.

Course structure

Full time – September start – typically 12 or 18 months

Part time – September start – typically 36 months

Core modules

• research skills and principles
• industrial expertise
• data integration
• statistical modelling
• data mining
• handling data in the cloud
• big data and distributed systems
• social and economic aspects of the cloud
• advanced statistical modelling
• dissertation

Options

Choose one from :

• organisational dynamics
• social and economic aspects of the cloud

Assessment

• essays
• assignments
• computer-based tests
• practical projects
• presentations
• vivas

Employability

Many jobs for data scientists, data analysts and data mining analysts are available with salaries ranging from £35,000 to £80,000.

Jobs typically list the skills to be in areas such as statistical analysis and machine learning techniques, database and programming technologies, and expertise in statistical theory, which are all areas you cover on this course.

You also gain skills and knowledge in HaDoop, MapReduce, Java, SAS, MSQL which are some of the common technologies used in data scientist roles.

Read less

Master in BIG DATA : Data Analytics, Data Science, Data Architecture”, accredited by the French Ministry of Higher Education and Research, draws on the recognized excellence of our engineering school in business intelligence and has grown from the specializations in Decision Support, Business Intelligence and Business Analytics. The Master is primarily going to appeal to international students, "free movers" or those from our partner universities or for high-potential foreign engineers who are looking for an international career in the domain of Business Analytics.

This program leads to a Master degree and a Diplôma accredited by the French Ministry of Higher Education and research.

Objectives

Business Intelligence and now Business Analytics have become key elements of all companies.

The objective of this Master is to train specialists in information systems and decision support, holding a large range of mathematic- and computer-based tools which would allow them to deal with real problems, analyzing their complexity and bringing efficient algorithmic and architectural solutions. Big Data is going to be the Next Big Thing over the coming 10 years.

The targeted applications concern optimization in the processing of large amounts of data (known as Big Data), logistics, industrial automation, but above all it’s the development of BI systems architecture. These applications have a role in most business domains: logistics, production, finance, marketing, client relation management.

The need for trained engineering specialists in these domains is growing constantly: recent studies show a large demand of training in these areas.

Distinctive points of this course

• The triple skill-set with architecture (BI), data mining and business resource optimization.
• This master will be run by a multidisciplinary group: statistics, data mining, operational research, architecture.
• The undertaking of interdisciplinary projects.
• The methods and techniques taught in this program come from cutting-edge domains in industry and research, such as: opinion mining, social networks and big data, optimization, resource allocation and BI systems architecture.
• The Master is closely backed up by research: several students are completing their end-of-studies project on themes from the [email protected] laboratory, followed and supported by members from the laboratory (PhD students and researcher teachers).
• The training on the tools used in industry dedicated to data mining, operational research and Business Intelligence gives the students a plus in their employability after completion.
• Industrial partnerships with companies very involved in Big Data have been developed:
• SAS via the academic program and a ‘chaire d’entreprise’ (business chair), allowing our students access to Business Intelligence modules such as Enterprise Miner (data mining) and SAS-OR (in operational research).

Practical information

The Master’s degree counts for 120 ECTS (European Credit Transfer System) in total and lasts two years. The training lasts 1252 hours (611 hours in M1 and 641 hours in M2). The semesters are divided as follows:
• M1 courses take place from September until June and count for a total of 60 ECTS
• M2 courses take place from September until mid-April and count for a total of 42ECTS
• A five-month internship (in France) from mid- April until mid- September for 9 ECTS is required and a Master thesis for 9 ECTS.

Non-French speakers will be asked to participate to a one week intensive French course that precedes the start of the program and allows students to gain the linguistic knowledge necessary for daily interactions.

[[Organization ]]
M1 modules are taught from September to June (60 ECTS, 611 h)
• Data exploration
• Inferential Statistics (3 ECTS, 30h, 1 S*)
• Data Analysis (2 ECTS, 2h, 1 S)
• Mathematics for Computer science
• Partial Differential Equations and Finite Differences (3 ECTS, 30h, 1 S)
• Operational Research: Linear Optimization (2 ECTS, 20h, 1 S)
• Combinatory Optimization (2 ECTS, 18h, 1 S)
• Complexity theory (1 ECTS, 9h, 1 S)
• Simulation and Stochastic Process (3 ECTS, 30h, 2 S**)
• Introduction to Predictive Modelling (2ECTS, 21h, 2 S)
• Deterministic and Stochastic Optimization (3 ECTS, 30h, 2 S)
• Introduction to Data Mining (2 ECTS, 21h, 2 S)
• Software and Architecture
• Object-Oriented Modelling (OOM) with UML (3 ECTS, 30h, 1 S)
• Object-Oriented Design and Programming with Java (2 ECTS, 30h, 1 S)
• Relational Database: Modelling and Design (3ECTS, 30h, 1 S)
• PLSQL (2 ECTS, 21h, 2 S)
• Architecture and Network Programming (3 ECTS, 30h, 2 S)
• Parallel Programming (3 ECTS, 30h, 2 S)
• Engineering Science
• Signal and System (3 ECTS, 21 h, 1 S)
• Signal processing (3 ECTS, 30h, 1 S)

• Research Initiation
• Scientific Paper review (1 ECTS, 9h, 1 S)
• Final research project on BIG DATA (5 ECTS, 50h, 2 S)
• Project Management
• AGIL Methods & Transverse Project (2 ECTS, 21h, 2 S)
• Languages and workshops
• French and Foreign languages (6 ECTS, 61h, 1&2 S)
• Personal and Professional Project (1 ECTS, 15, 1 S)
*1 S= 1st semester, ** 2 S= 2nd semester

M2 Program: from September to September (60 ECTS, 641h)
M2 level is a collection of modules, giving in total 60 ECTS (42 ECTS for the modules taught from September to April, plus 9 ECTS for the internship and 9 ECTS for the Master thesis).

Computer technologies
• Web Services (3 ECTS, 24h, 1 S)
• NOSQL (2 ECTS, 20h, 1 S)
• Java EE (3 ECTS, 24, 1S)
Data exploration
• Semantic web and Ontology (2 ECTS, 20h, 1 S)
• Data mining: application (2 ECTS, 20h, 1S)
• Social Network Analysis (2ECTS, 18h, 1S)
• Collective intelligence: Web Mining and Multimedia indexation (2 ECTS, 20h, 2 S)
• Enterprise Miner SAS (2 ECTS, 20h, 2 S)
• Text Mining and natural language (2 ECTS, 20h, 2 S)
Operations Research
• Thorough operational research: modelling and business application (2 ECTS, 21h, 1 S)
• Game theory (1 ECTS, 10h, 1 S)
• Forecasting models (2 ECTS, 20h, 1 S)
• Constraint programming (2 ECTS, 20h, 2 S)
• Multi-objective and multi-criteria optimisation (2 ECTS, 20h, 2 S)
• SAS OR (2 ECTS, 20h, 2 S)
Research Initiation Initiative
• Scientific Paper review (1 ECTS, 10h, 1 S)
• Final research project on BIG DATA (2 ECTS, 39, 2 S)
BI Architecture
• BI Theory (2 ECTS, 20h, 2 S)
• BI Practice (2 ECTS, 20h, 2 S)
Languages and workshops (4 ECTS, 105h, 1&2 S)
• French as a Foreign language
• CV workshop
• Personal and Professional Project
Internship
• Internship (9 ECTS, 22 weeks minimum)
Thesis
• Master thesis (9 ECTS, 150h)

Teaching

Fourteen external teachers (lecturers from universities, teacher-researchers, professors etc.), supported by a piloting committee, will bring together the training given in Cergy.

All the classes will be taught in English, with the exception of:
• The class of FLE (French as a foreign language), where the objective is to teach the students how to understand and express themselves in French.
• Cultural Openness, where the objective is to enrich the students’ knowledge of French culture.
The EISTI offers an e-learning site to all its students, which complements everything the students will learn through their presence and participation in class:
• class documents, practical work and tutorials online
• questions and discussions between teachers and students, and among students
• a possibility of handing work in online

All Master’s students are equipped with a laptop for the duration of the program that remains the property of the EISTI.

Read less

Learn how to overcome the major challenges facing industry, business and the public sector today, and influence the decision-making processes of the future. This course gives you the cutting edge analytical approaches, methodologies and tools you need to confidently tackle problems and improve outcomes.

It allows you to specialize in a diverse range of areas including:
-Consulting skills
-Big data and web analytics
-Information systems concepts and tools
-Decision behaviour and psychology of decision making
-Financial modelling
-Operations management and process change and improvement approaches
-Project management
-Supply chain management, logistics and procurement
-Traditional operational research and applied mathematics and statistics

The aim of the course is to give students a solid quantitative foundation alongside practical problem-solving techniques. Much of your learning involves real-life scenarios using case studies, individual and team consulting-based assignments, presentations and software tools. Much of the coursework takes the form of consulting-style cases, some done in small teams and including presentations.

The core of the course is formed by four analytics units covering fundamental toolkit areas of decision sciences, applied operational research and statistics. The approach is to consider application of these analytical methodologies and toolkits to common problem areas across business and management. You then chose four other units from a broad range of options, according to your interests, background and intended career directions.

Aims

The course is intended to provide management, engineering, science, mathematics, economics or similar graduates who have a solid quantitative foundation with deeper analytical skills and an understanding of how these are applied to business and management problems.

Special features

We run a core module on Data Analytics which will introduce students to SAS Enterprise. A coursework prize for this project will be sponsored by SAS.

Recent highlights included a case study run by British Airways,a presentation from SAS on the Future of Analytics and ongoing dissertation projects with Unilever and LBM.

Coursework and assessment

Assessment varies depending on course units taken. It may include a combination of course work, group project assessment and presentations, report, assignments, in-class tests and examination. The dissertation normally ranges between 12,000 and 25,000 words.

Career opportunities

There are many potential career roles for postgraduates with an understanding of analytical approaches in business and management - including job titles such as operational research analyst, systems analyst, risk analyst, financial analyst, performance analyst, business analyst, marketing analyst, business modeller, and operations, logistics, production, project, risk, quality, performance, or general manager. Employers include general and specialist consultancies, the finance, retail and manufacturing sectors, government analytics units, defence and major `solution providers' in IT systems, outsourcing and telecoms.

In many of these areas an MSc is generally accepted as highly desirable for developing an initial career in the field. In addition to preparing you for specialist professional work, the course is also a valuable preparation for further study and for research degrees.

Read less

Our MSc in Big Data Analytics provides a foundation for you to pursue a career applying leading edge software analytics technology or conducting research in this vitally important field. It will give you in-depth knowledge and critical understanding of the key issues and concepts. You’ll develop powerful skills in the extraction, analysis and management of information from big data using a variety of scientific techniques and software tools.

One of the course’s key strengths is that it is designed in conjunction with SAS, the global leaders in data analytics, whose data mining and business intelligence platform is widely used in academia and industry. You’ll have the opportunity to gain SAS 9 base certification. We also boast strong links with employers through our research and high profile consultancy projects, ensuring that our teaching remains up-to-date and relevant.

You’ll be introduced to knowledge discovery, analysis and assessment of data extracted from structured and unstructured big datasets, visualisation and communication of results. You’ll process advanced knowledge and information, make deductions and form
conclusions. The practical skills you’ll develop include computer modelling and the design and analysis of big data sets. The broader
skills include communication, teamwork, management and the ability to use advanced quantitative methods.

As part of your studies, you’ll address real-world industry-based problems during supervised computer sessions and through independent work. This intellectually demanding process requires not only specialist knowledge of big data analytics, but also the ability to apply multidisciplinary concepts to today’s dynamic business and scientific areas.

With the MSc, you’ll be equipped for careers in business intelligence and data analytics in any type of industry, in consultancy or in entrepreneurship. The course also provides a foundation for progression to a PhD or MPhil, allowing you to pursue your research interests.

You’ll study modules such as:

Business Analytics with SAS
Statistical Techniques
Studying at Masters Level and Research Methods
Processing Big Data
Information Visualisation
Analytics: Ethics, Trusts and Governance
Comparative Analytics Tools
Natural Language Processing
Optimisation
Independent Scholarship

Read less

In a world that is increasingly interconnected – economically, politically and socially – today’s leaders need a wide-ranging understanding of today’s business issues, plus the wider management, entrepreneurial and communication skills that will enable them to thrive in a changing global environment.

The MA International Business is designed for students seeking to build a career in an international business setting. It will enable you to develop a sound understanding of international business, together with capability in the key linked disciplines of international marketing, human resource management, finance and entrepreneurship.

The option to study a language is an important aspect of the programme, enabling you to communicate effectively in an international business context. Options for language study include Arabic, Chinese, French, German, Italian, Japanese, Portuguese, Russian and Spanish.

Why should I choose this programme?

The programme will develop your knowledge and critical understanding of international business issues. You will increase your awareness of change and the dynamics of different cultures, and develop evaluative and problem-solving skills.

There is a strong focus on developing your personal as well as professional attributes. You will evaluate your own strengths and abilities, and plan your own development, learning to act on your own initiative and take responsibility for your actions.

Key skills, aims and objectives

‌•develop your interests and knowledge through options in a range of specialist areas, such as family business, international negotiation or coaching
‌•develop evaluative and problem-solving skills
‌•increase your awareness of change and the dynamics of different cultures
‌•ability to analyse complex situations, respond with creative solutions and communicate effectively in almost any situation

Future opportunities

The diverse, practical nature of the programme will enable you to develop a range of transferable skills that will enhance your employment prospects across a wide range of businesses. Your skills will also open doors to you in areas such as management strategy, consulting, marketing and developing business start-ups.

Endorsement

‌
•For the duration of this programme you will become a member of the Chartered Management Institute (CMI) and receive a NVQ level 7 Extended Diploma upon succesful completion of your studies. As a member of the CMI you will receive recognition of being affiliated with a professional body, have access to research materials, CMI events, job listings as well as the opportunity to have a mentor.

‌•If you choose to study the Business Analytics elective module, you will receive a SAS certificate of attendance. For more information on our membership as a SAS Student Academy, please see here http://www.regents.ac.uk/study/sas-academy.aspx

‌•As a student of MA International Business, you will have the opportunity to attend Continued Personal Development (CPD) accredited workshops. Examples of workshops include but are not limited to:

-Dealing with Conflict
-Developing Mental Toughness
-The Art of Selling
-Speed Networking
-Ethics and Me
-Psychometrics of Group Dynamics

How to apply

Applying to study at RUL is a quick and easy process. We accept direct applications, have no formal application deadlines and there is no application fee.

Step 1 Apply

You can apply in the following ways:

‌•Apply online
‌•Apply directly to us using the application form available here http://www.regents.ac.uk/media/1188903/Regents-application-form.pdf
Once you have completed the application form, please send us the following supporting documents, by post, email or fax:

‌•Copies of academic transcripts and certificates of all academic study undertaken after secondary school
‌•One letter of academic reference
‌•A copy of your CV/resumé showing your work experience if applicable.
‌•A 300 to 500-word personal statement in support of your application, outlining your reasons for applying to your chosen programme and how you feel you will benefit from the course of study
‌•A copy of your passport photograph (ID) page
‌•One recent passport-sized, colour photograph, jpeg format (this must be emailed to us at [email protected])
‌•If not a native English speaker, proof of your English proficiency

Please note: most candidates will be assessed for admission on the basis of their submitted application materials. However, RUL reserves the right to invite candidates for interview and to reject those who decline to attend.

Step 2 Making an offer

We will assess whether you meet our minimum entry requirements and will make you an offer by both email and post, or notify you that you have been unsuccessful.

If you have completed your education and have met all the entry requirements, you will be sent an unconditional offer. If you still have to finish your exams, or have yet to submit supporting documentation, we will make you a conditional offer.

You can expect to receive a decision on your application within 10 working days of receipt of your completed application and supporting documents.

Step 3 Accepting the offer

If you wish to accept the offer you must:

‌•Confirm your acceptance via email/post/telephone/in person
‌•Pay the registration fee (non-refundable)
‌•Pay the non-EU advance tuition fee deposit, if applicable (non-refundable)
‌•Please note: although there is no formal deadline to pay your registration fee or non-EU advance deposit, if you need to apply for an international student visa to study in the UK, then we recommend that you pay these as soon as possible.

Please see here for information on how to pay http://www.regents.ac.uk/study/how-to-pay.aspx

Step 4 Full acceptance and visa

On receipt of your acceptance we will issue the final set of documentation and, where needed, the relevant visa support documentation. To find out if you need a student visa please consult the UK Visas and Immigration (UKVI) website for current information: http://www.gov.uk/government/organisations/uk-visas-and-immigration (please note it is your own responsibility to arrange the appropriate visa).

For more information on course structure, admissions and teaching and assessment, please follow this link: http://www.regents.ac.uk/study/postgraduate-study/programmes/ma-international-business.aspx#tab_course-overview

Read less

The MA Management offers an advanced study of management and the changing global context in which organisations operate. The programme emphasises the personal nature of effective management and leadership, developing graduates who can become catalysts for change in both business and society.

This programme combines management and leadership theory, practice and values while nurturing the social and emotional aspects of learning.There is strong emphasis on teamwork and practical, experience-based learning linked to and focused on the world of management and leadership.

The programme philosophy is to ‘cultivate the seeds of possibilities’ – bringing together management and leadership theory, practice and values while nurturing the social and emotional aspects of learning, and encouraging you to act with confidence in challenging situations.

Why should I choose this programme?

The MA Management will equip you with the essential business and life skills to master management practices at an enhanced level. You will be prepared to become a more effective leader, manager and citizen, capable of making a positive difference in both your work and community.

You will make an advanced study of leadership styles and management practices, and look at the personal style of particular leaders – how they manage people and operate in a changing external context.

There is a strong focus on developing your personal as well as professional attributes. You will evaluate your own strengths and abilities, and plan your own development, learning how to think for yourself, work in teams and take responsibility. The programme will foster your self-reliance and self-awareness, your ability to cope with change and ambiguity, and your sense of accountability

Key skills, aims and objectives

Develop positive and critical attitudes towards management and leadership, change and enterprise, enabling you to respond positively to a dynamic, complex global environment
The opportunity to develop your interests and knowledge through options in a range of specialist areas, such as family business, international negotiation or coaching
Develop critical self-awareness, inner qualities and transferable skills in management and leadership practice

Future opportunities

You will graduate with a diverse portfolio of professional knowledge and skills that will be valued by employers worldwide. You will be equipped with the transferable skills that will enable you to succeed in a variety of different organisational contexts, including the private, public and not-for-profit sectors. Specialist areas that could be open to you include management consulting, running a family business, developing new businesses and products, training and coaching.

Endorsement

‌•For the duration of this programme you will become a member of the Chartered Management Institute (CMI) and receive a NVQ level 7 Extended Diploma upon succesful completion of your studies. As a member of the CMI you will receive recognition of being affiliated with a professional body, have access to research materials, CMI events, job listings as well as the opportunity to have a mentor.
‌•If you choose to study the Business Analytics elective module, you will receive a SAS certificate of attendance. For more information on our membership as a SAS Student Academy, please see here http://www.regents.ac.uk/study/sas-academy.aspx.

‌•As a student of MA Management, you will have the opportunity to attend Continued Personal Development (CPD) accredited workshops. Examples of workshops include but are not limited to:

‌•Dealing with Conflict
‌•Developing Mental Toughness
‌•The Art of Selling
‌•Speed Networking
‌•Ethics and Me
‌•Psychometrics of Group Dynamics

How to apply

Applying to study at RUL is a quick and easy process. We accept direct applications, have no formal application deadlines and there is no application fee.

Step 1 Apply

You can apply in the following ways:

•Apply online
•Apply directly to us using the application form available here http://www.regents.ac.uk/media/1188903/Regents-application-form.pdf
Once you have completed the application form, please send us the following supporting documents, by post, email or fax:

•Copies of academic transcripts and certificates of all academic study undertaken after secondary school
•One letter of academic reference
•A copy of your CV/resumé showing your work experience if applicable.
•A 300 to 500-word personal statement in support of your application, outlining your reasons for applying to your chosen programme and how you feel you will benefit from the course of study
•A copy of your passport photograph (ID) page
•One recent passport-sized, colour photograph, jpeg format (this must be emailed to us at [email protected])
•If not a native English speaker, proof of your English proficiency

Please note: most candidates will be assessed for admission on the basis of their submitted application materials. However, RUL reserves the right to invite candidates for interview and to reject those who decline to attend.

Step 2 Making an offer

We will assess whether you meet our minimum entry requirements and will make you an offer by both email and post, or notify you that you have been unsuccessful.

If you have completed your education and have met all the entry requirements, you will be sent an unconditional offer. If you still have to finish your exams, or have yet to submit supporting documentation, we will make you a conditional offer.

You can expect to receive a decision on your application within 10 working days of receipt of your completed application and supporting documents.

Step 3 Accepting the offer

If you wish to accept the offer you must:

•Confirm your acceptance via email/post/telephone/in person
•Pay the registration fee (non-refundable)
•Pay the non-EU advance tuition fee deposit, if applicable (non-refundable)
•Please note: although there is no formal deadline to pay your registration fee or non-EU advance deposit, if you need to apply for an international student visa to study in the UK, then we recommend that you pay these as soon as possible.

Please see here for information on how to pay http://www.regents.ac.uk/study/how-to-pay.aspx

Step 4 Full acceptance and visa

On receipt of your acceptance we will issue the final set of documentation and, where needed, the relevant visa support documentation. To find out if you need a student visa please consult the UK Visas and Immigration (UKVI) website for current information: http://www.gov.uk/government/organisations/uk-visas-and-immigration (please note it is your own responsibility to arrange the appropriate visa).

For more information on course structure, admissions and teaching and assessment, please follow this link: http://www.regents.ac.uk/study/postgraduate-study/programmes/ma-management.aspx

Read less

This postgraduate Masters course is uniquely designed for both computing and non-computing graduates wishing to pursue a career in data science community.

Data science is at the intersection of the fields of computer science, statistics, and design. In a rapidly evolving world, new types of big data are emerging from mobile devices, sensors, instruments, transactional systems, web logs, social media, the cloud and other sources. Businesses are accumulating big data at a rate that often exceeds their capacity to extract value from it.

MSc Data Science is ideally placed to provide you with technical knowledge and employer-focused skills required in a data scientist role. The course will develop your specialist knowledge of data acquisition, data cleansing, data analysis, information extraction, prediction, visualization, story-telling and explanation.

You'll gain hands-on experience using industry standard tools for data science, business intelligence and analytics including SAS, Tableau MS SQL Server, Oracle Database, and R Programming.

Modules

Research methods and professional issues
Future internet technologies
Statistical analysis and modelling
Business intelligence
Data management
Machine learning
Data mining and analysis
MSc thesis

All modules are assessed by a mix of coursework and examinations.

Teaching and learning

You'll make use of our e-learning suite and learn in a combination of lectures, seminars, workshops and private study. You'll have access to specialist software including Microsoft SQL Server 2012, Netbeans 7.x with Java 7, Oracle, Python, SAS and Visual Paradigm.

Placements

You are encouraged to actively seek placements, work experience and voluntary work during your studies to improve your CV and to give you the opportunity to put theory into practice. Many opportunities are offered through the University's central Employability team, who can support you in finding a placement.

Accreditation

In order to ensure the course runs in accordance with industry recognised standards we are seeking accreditation for both Chartered Engineer (CEng) status as well as Chartered IT Professional (CITP) accreditation by the British Computer Society, the Chartered Institute for Information Technology.

We are also seeking Chartered Engineer (CEng) status with both the Institute of Engineering and Technology and the Engineering Council.

Employability

Career opportunities range from IT services to business consultancy, and this course will prepare you for a career in the business intelligence community working actively with a range of resources including tools from major commercial vendors such as Microsoft and SAS.

As a graduate of this course you should to be able to work within the areas of business intelligence or business and data analytics, in roles such as a business intelligence specialist, data or business analyst or business intelligence developer.

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.

Read less

Centennial College's Marketing Research and Analytics program positions you at the forefront of a cutting edge job market in which organizations have oceans of data available to them but struggle to make sense of it as marketing becomes increasingly data-driven. As a result, there is a large and growing demand for trained researchers who can harness the power of big data using the latest tools and analytical techniques to uncover new insights and drive businesses forward.

This Marketing Research and Analytics program combines advanced courses in marketing research and big data analytics with training on leading commercial technologies and platforms and the opportunity to gain in-demand industry certifications.

This program equips you with knowledge, skills and training in leading business intelligence and marketing research technologies and tools used in the field. Among them are SAS Enterprise Guide and SAS Enterprise Miner, Environics Analytics Envision (used to develop comprehensive profiles of selected target markets), SPSS, Tableau (the leading data visualization software), Excel, XL Miner, Dell Factiva and NVIVO (qualitative research and text analysis software).

Upon graduation, you receive an Ontario Graduate Certificate from Centennial College, plus certificates of recognition from SAS and Environics Canada. In addition, you are put on an accelerated track to earning the Certified Marketing Research Professional (CMRP) designation, the premier credential in Canadian marketing research from the Marketing Research and Intelligence Association (MRIA).

Career Opportunities

Program Highlights
-The Marketing – Research and Analytics program combines marketing research principles and skills with cutting edge "big data" analytics techniques to equip you with the training required to deliver insights and strategies to help organizations make smarter and more impactful business decisions.
-Employed is an extensive use of learner-centered approaches such as case studies, simulations and project-based learning, with a focus on developing project management, teamwork, analytical thinking, and report writing and presentation skills.
-Hands-on learning covers areas such as questionnaire design, data manipulation, quality control, statistical output and program development.
-There is a strong focus on applying marketing research and analytics to strategic marketing decision-making.
-In the second semester, you develop and implement a capstone project that will integrate and apply your learning.
-In addition to market research technologies, you also have access to the full suite of Microsoft products, including Microsoft Excel, XL Miner, Access and PowerPoint.
-Once you graduate, you have the option to take the Comprehensive Marketing Research Exam (CMRE) on campus at Centennial College, which leads to the Certified Marketing Research Professional (CMRP) designation.

Articulation Agreements
Start with a graduate certificate, and continue to a master of business administration through our degree completion partnership. Successful graduates of this Marketing – Research and Analytics program may choose to continue with courses leading to a graduate degree.

Career Outlook
-Marketing research specialist or analyst
-Research analyst
-Marketing research and intelligence coordinator
-Market intelligence specialist or analyst
-Customer insights analyst
-Consumer research manager
-Business intelligence analyst
-Market research analytics manager
-Web marketing analyst
-Customer experience analyst
-CRM analyst
-Direct response analyst
-Digital marketing analyst
-Social media analyst
-Data and analytics specialist
-Business analytics specialist
-Loyalty program analyst
-Sales analyst
-Marketing strategy analyst

Program Outcomes
-Optimize the financial results produced by interactive marketing programs through the application of marketing analytics
-Contribute to the design of a marketing analytics team project (develop charter, business case financials, technical requirements, design, test plan, test results, approval to proceed) and the management of the resulting project
-Create, manage and mine, and apply modelling and decision making functions to a database
-Utilize data auditing techniques and quality control processes that are consistent with current marketing research codes of conduct and Canadian privacy principles to ensure the integrity of the data collection, storage, analysis and presentation processes
-Compare and contrast, evaluate and select appropriate data sources to meet specific marketing objectives
-Conduct industry, competitor and customer analyses using a wide variety of secondary research sources
-Produce reliable and analyzable data through the application of sound questionnaire design principles to marketing research projects
-Design marketing research projects and interactive marketing programs that are founded in sound sampling techniques, hypothesis testing and research design
-Solve business and marketing problems by identifying, selecting and applying effective, current and relevant techniques such as descriptive and inferential analysis
-Prepare provisional output of analyses including cross-tabulations and pivot tables that address the needs of analysts and prepare final output, including research reports, presentation sides and visual representations of data that address the needs of management
-Develop actionable recommendations based on situation analyses and research findings

Areas of Employment
-Retail corporations
-Organizations with in-house analytical and research functions
-Marketing research firms

Read less

IN BRIEF:

• MSc by project accredited by the British Computer Society
• Gain hands-on experience of the design and implementation of databases and web applications
• Learn data-mining techniques using popular tools in different application domains
• Part-time study option
• International students can apply

COURSE SUMMARY

This course is your opportunity to specialise in the development of web-based software systems that use databases. During your time with us, you will gain a critical awareness of the methodologies, tools and techniques used for the development of web-based computer systems and an advanced understanding of the techniques used for the development, evaluation and testing of databases.

The course also develops an awareness of the latest developments in the field of advanced databases, data mining and data warehousing. You will also gain substantial knowledge and skills in the deployment of SAS business intelligence software leading towards SAS data miner accreditation, and learn what the Semantic Web and Linked Data are, together with what these technologies enable.

COURSE DETAILS

This course covers a very comprehensive range of topics split in to four large modules worth 30 credits each plus the MSc Project. External speakers from blue-chip and local companies will give seminars to complement your learning, that will be real-world case studies related to the subjects you are studying in your modules. These are designed to improve the breadth of your learning and often lead to ideas that you can develop for your MSc Project.

TEACHING

Teaching on this course takes the form of lectures, individual and group class work, topical class discussions and critical case study evaluation.

You will gain hands-on lab experience of using and setting up databases and web-based systems. What’s more, tutorials will give you practice in solving the theoretical and design problems associated with these systems.

ASSESSMENT

• Coursework 60%
• Examinations 40%

EMPLOYABILITY

With this qualification, you’ll be equipped as web/database designer and programmer, data analytics and miner among other roles. Your experience will be in high demand across all industrial and commercial sectors.

Previous students have gone on to work with companies including British Airways, Google, Hewlett-Packard, Oracle and other IT firms.

LINKS WITH INDUSTRY

Our links with industry include large companies (BT, Oracle, Microsoft) and local companies.

These companies engage with the University by giving guest seminars and often our students will work with them on their MSc Project.

FURTHER STUDY

Many of our graduates will go on to further study in our Computer Networks and Telecommunications Research Centre (CNTR)

The CNTR undertakes both pure and applied research in the general field of telecommunications and computer networking including computer networking technologies, wireless systems, networked multimedia applications, quality of service, mobile networking, intelligent buildings, context driven information systems and communication protocols. Much of this work is funded through research grants and supported by industry. In addition, members of the group are actively involved in a range of public engagement courses which aim to raise the awareness of these subjects for the general public and in schools.

Research themes in this Centre include:

• Wireless technologies and sensor networks
• Context and location based information systems
• Intelligent buildings and energy monitoring
• Communication protocols, traffic routing and quality of service
• Network planning, traffic modelling and optimisation
• Ubiquitous and ambient technology
• Information security and computer forensics
• Public Awareness

Read less

This is a flexible course which you can tailor to suit your own specific areas of interest, experience and career aspirations. You will have the opportunity to choose from a range of modules in areas such as information systems, computing and creative technologies.

Our modules vary in their technical nature with either a practical or theoretical focus, and we will advise on which ones are right for you.

- Research Excellence Framework 2014: our University demonstrated strength in five emerging areas of research which it entered into the assessment for the first time, including computer science.January entrants please note: in order to complete 12 months of academic study delivered in University term time, the total length of your programme will be 18 months to include recognised University vacation periods.

Visit the website http://courses.leedsbeckett.ac.uk/informationandtechnology_msc

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

Your employability is enhanced through our contacts with industry, our Careers Advice Service and providing you with up-to-date knowledge and skills which are in demand in this sector. You can look forward to a wide range of career opportunities in the field of internet, enterprise software development and information systems.

- Web Developer
- User Interface Designer
- PHP Developer
- IT Project Manager

Careers advice:
The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

Our course has strong links with industry to ensure content is always relevant to the needs of the sector and you are encouraged to engage with our external clients for your final project. Guest lecturers are invited to speak and you will have the opportunity to get involved with industry related events.

Modules

Dissertation (40 Credits)

Research Practice (20 Credits)

Option Modules (Semester 2) (20 Credits each)
Service Oriented Architecture; Green Computing Strategies; Systems, Designs, Innovation; Software and Systems; Critical Perspectives on Information; Mobile Application Development; Data Warehouse Models and Approaches(SAS); Intelligent Systems and Robotics; Lean and Agile Engineering; Mobile Games Prototyping; BI Principles, Data Analysis and Visualisation(SAS); Network and Convergence Architectures; Green Computing Technologies; Engineering Systems Control; Design Patterns for Web Dev.

Option Modules (Semester 1) (20 Credits each)
Database Systems; Managing Information in the Digital and Global Environment; User Experience Design; Digital Video and Audio; Mobile and Wireless Communications; Advanced Software Engineering; Eco Engineering; Software Components and Architecture; ICT and Environment; Responsive Web Development; 3D Computer Technologies; Simulation and Modelling; Network Management.

Project Management (20 Credits)

Professor Mohammad Dastbaz

Dean, Faculty of Arts, Environment and Technology

"We aim to provide innovation in curriculum, engagement with current industry practices and standards, and to give our students the experience of working with staff whose research has national and international reputation."

Mohammad is responsible for the strategic leadership of the Faculty of Arts, Environment and Technology,having joined our University in June 2011 from the University of East London. A well published researcher, with over 50 refereed conference and Journal publications, his research profile includes many funded research programmes including JISC and EU FP7 projects. Mohammad’s first degree was in Electrical and Electronic Engineering. He then went on to complete a PhD in the 'Design, Development and Evaluation of Multimedia Based Learning Systems' at Kingston University. In 1989 he set up one of the UK's first multimedia PC companies, 'Systems 2000'.

Facilities

- IT Labs
The University is home to a number of modern specialist IT labs equipped with all the up-to-date hardware and software our computing students could need

- Library
Our libraries are two of the only university libraries in the UK open 24/7 every day of the year. However you like to study, the libraries have got you covered with group study, silent study, extensive e-learning resources and PC suites.

- Headingley Campus
Our historic Headingley Campus is set in 100 acres of parkland with easy access to Leeds city centre.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

Read less