Data Analytics MSc (PGCert PGDip)
Developed to meet the demand for data science professionals, our postgraduate Data Analytics course enables you to effectively structure, analyse and gain insight from a wide range of complex data across different industries.
Your learning is informed by current business developments through case studies looking at real-world data sets, research questions and scenarios. You have the opportunity to collaborate on projects with our industry partners, and can also use your own data, project ideas and industry links.
You will develop a skill set in specialist data analytics and associated software, quantitative methods and techniques, and business intelligence. Our staff are experts in their field and you have the chance to develop your knowledge in specialist areas where we have ongoing research and expertise, such as sequential forecasting, natural language processing and image processing.
Whether you are a recent graduate or an experienced professional wanting to gain data analysis skills, this course is available on a full or part-time basis to help you manage your studies around other commitments.
Campus Information
Moulsecoomb campus
Two miles north of Brighton city centre and the seafront, Moulsecoomb is the largest of our four campuses with more than 8,000 students. Moulsecoomb Place is home to more than 160 students, while others live in nearby Varley Park. There are a number of areas of Brighton that are popular with students, just a short walk, cycle or bus ride away. These include Moulsecoomb, Bevendean, Hollingbury, Elm Grove, Hanover and other suburbs that stretch up the hills on either side of the Lewes Road.
Intakes
- Sep
Application Processing Time in Days: 10
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
The Careers team is here to support you from your first day at the university.
We can help you decide what career is right for you, develop the skills you will need to follow it, and get a job when you finish your studies.
We can also offer support and advice about placements, volunteering, mentoring and business startup.
The Careers team are offering their full range of services, including one-to-one appointments remotely. These mainly take place via the Microsoft Teams app If you are having any issues with setting up Microsoft Teams please get in touch.
Work and further study
Vacancy service
Make the most of our vacancy service, social media, paper and media resources.
Careers advice
Decide what career is right for you. Help with CVs, applications and interviews.
Resources for finding a job
Find graduate jobs, part-time work, and location-specific work.
Meet employers
Meet employers at careers fairs and events organised throughout the year.
Postgraduate study
For students considering postgraduate study at Masters level or higher.
PSW Opportunity
- 2 Years PSW is applicable after completing a minimum duration of 9 months course (like- Undergraduate, Postgraduate Level)
- 3 Years PSW is applicable after completing PhD level courses.
Admission Requirement / Eligibility Criteria
Degree and experience
Normally a 2:2 degree in a subject area with a substantial quantitative element (for example, maths, statistics, computer science, engineering, economics). Alternatively a 2:1 degree in any subject area will be considered if the applicant can demonstrate some familiarity with and aptitude for mathematics and statistics concepts and methods.
Claims for the accreditation of prior (experiential) learning will also be considered.
English language requirements
IELTS 6.5 overall with a minimum of 5.5 in each element. Find out more about the other English qualifications that we accept.
International students whose language skills do not match the IELTS scores set out here should consider applying for this course through the Extended Masters programme at the university's Language Institute.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
-
Total Tuition Fee:
15156 GBP
Average Cost of Living: 13632 GBP /year
Application Fee: N/A
Similar Programs
- Computer Science MSc at University of Brighton
- MSc in Cardiology at University of Brighton
- Sport and leisure cultures MPhil at University of Brighton
- Psychology MPhil at University of Brighton
- Environmental communication MPhil at University of Brighton
- Sport and exercise science MPhil at University of Brighton