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Teaching & AssessmentLearning and Teaching (approximate):
Scheduled learning – 20%
Independent study – 80%
Assessment (approximate):
Practical – 60%
Coursework – 40%
Assessment Methods:
Oral presentations
Written reports
Coursework
Academic posters
Laboratory reports
Log books
Laboratory exercises
Essays
Scientific papers
Case studies
Literature reviews
Research proposals
Posters
Viva voces
This is a specialised master’s degree that focuses on the intersection between the fields of information technology and data analytics, teaching students the skills and knowledge to analyse and interpret large volumes of data using IT tools and techniques. Living in an increasingly data-driven world, graduates of this degree will be in high demand across various industries and in many companies. You will learn about the different aspects of information technology, as well as gaining expertise in data analytics by extracting meaningful insights and patterns from data sets to support decision-making processes and solve complex problems.
Learn from expertsOur inspiring team and esteemed guest lecturers bring a wealth of knowledge and global experience garnered from their extensive careers in both UK-based enterprises and across international markets.
Immerse yourself in the world’s capitalLive and study in London; one of the leading cultural, financial and cosmopolitan capitals of the world.
Build your networkOur alumni network spans across more than 100 nationalities, offering a dynamic platform for connections that can drive your career forward.
Exceptional career prospectsLondon is a global economic hub, which means there are abundant opportunities for professionals with various skill sets and backgrounds. UWS London careers department will help you to navigate the graduate job market during your studies and up to 2 years after you graduate.
You should hold an honours degree or equivalent (minimum 2:2 classification) or a bachelor’s degree with significant and relevant work experience. You will normally be expected to have at least one of the following:
A degree awarded by an appropriate institution
A postgraduate award (passed at an appropriate level)
An appropriate professional qualification such as those from ACCA or CIMA
Passed a Pre Master’s programme at relevant level
Relevant work or professional experience
Where candidates do not meet the standard entry requirement, they must demonstrate that they have sufficient relevant professional or practice-based experience to undertake their chosen programme of study. They may be admitted to the programme at the discretion of the programme Admissions Officer/Programme Leader.
20 hours work permit for international students
This course consists of a combination of core and specialisation-option modules:
Core Modules (students must complete the following four modules):
Business Data Communication and Networks (20 credits)
Database Design and Implementation for Business (20 credits)
Information Systems Analysis and Design (20 credits)
Masters Project (60 credits)
Specialist Pathway Modules (students must complete the following two pathway modules):
Data Analysis and Visualisation (20 credits)
Data Mining and Business Intelligence (20 credits)
Recommended Optional Modules
IT Strategy and Management (20 credits)
Object Orientated Programming (20 credits)
Work Based Learning* (20 credits)
* To be eligible to undertake this module, it is expected that a student would already be in the workplace and a tripartite agreement would exist between the company, student, and University prior to enrolment.
Successful completion of the PgDip will allow you to proceed to the MSc Dissertation module, entailing detailed research and critical analysis of a specific project:
MSc Dissertation (60 Credits)
For applicants whose first language is not English, the University sets a minimum English language proficiency level. The qualifications below must have been gained within two years of the start of your course.
General English language requirements at UWS: International English Language Testing System (IELTS) Academic module (not General Training):
Overall score 6.0
No sub-test less than 5.5
Common equivalent English language qualifications
All stated English tests are acceptable for admission for both home/EU and international students for this programme:
CAE (Cambridge Certificate of Advanced English): 176 overall; no sub-test less than 169
CPE (Cambridge Certificate of Proficiency in English): 176 overall; no sub-test less than 169
Trinity College London Integrated Skills in English: ISEII with the minimum of a Pass in all sub-tests
PTE Pearson Academic English: An overall score of 59 to 64 with no element below 59 (for programmes that require IELTS 6.0 with no element below 5.5). An overall score 65 to 75 with no element below 65 (for programmes that require IELTS 6.5 with no element below 6.0)
For further information on English Language qualifications accepted click here.
For applicants who do not meet the minimum English language requirements above, there is an option to apply for the pre-sessional English language programme combined with chosen degree programme.
Students who have a degree in a subject other than IT or computing and are wanting to develop much sought-after business-relevant IT knowledge and skills alongside specialist knowledge of project managementWhy study Information Technology with Data Analytics?
A degree in MSc Information Technology with Data Analytics can help:
To develop your familiarity with mathematical, statistical and computational data modelling techniques
To gain experience in carrying out data analysis, communicating and critically commenting on the results
Where will this course take me?
Upon completion, graduates of this course can get jobs as a Market Research Analyst, Business Analyst, Business Intelligence Analyst, Operations Research Analyst, or Intelligence Analyst, As well as local authorities, public organisations and SME’s, those graduating with this degree have careers at various companies such as Amazon, Adobe Systems, IBM, Dell, Morgan Stanley, just to name a few. Successful completion of the programme enables progression to research-based academic courses.
Other programmes you might be interested in.
For any enquiries or further details, please don't hesitate to contact us. Let's take the next step in your academic journey together.
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