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Overview
This Data Analytics (including Professional Practice) course from Aston University is for you if you want to use your mathematical and numerical skills to build your career. During the course you will develop an informed and critical appreciation of scientific and industrial developments in data science and analytics.
The difference between this course and the MSc Data Analytics course is that this one features a professional placement. Students are responsible for finding their own work placement, with the help of our award-winning Careers and Placements Team, who have helped so many of our students to secure placement and work opportunities.
Aston is 3rd in the UK for the number of students taking a sandwich year (HESA 2018), showing just how much we encourage students getting professional experience and how successful we are at enabling them to secure work placements. Take a look at our specific placement information and support. Please find more about the time frame under ‘Learning, teaching and assessment’.
Career prospects
Our graduates leave with the in-depth knowledge and skills they need to develop careers across the field of data science.
Students on similar programmes have gone on to roles including: finance and investment analysts and advisers; IT business analysts, architects and systems designers; management consultants and business analysts; as well as programmers and software development professionals at some of the world’s most prestigious companies.
International students
Aston University is a diverse, close community and welcomes international students on many of our postgraduate programmes. Students from over 120 different countries chose to study with us every year and Aston is not only a great place to study, based in the centre of Birmingham it’s also a great place to live.
Programme Structure
Courses include:
- Statistical Machine Learning,
- Specialist Research Skills and Techniques,
- Algorithmic and Computational Mathematics,
- Understanding Data,
- Probabilistic Modelling,
- Data Science Programming,
- Artificial Neural Networks,
- Network Science
Key information
Duration
- Full-time
- 22 months
Start dates & application deadlines
- StartingApply anytime.
Language
English
IELTS 6.5
TOEFL® IBT 93
Credits
180 alternative credits
Delivered
On Campus
Disciplines
Business Intelligence & Analytics Data Science & Big Data View 264 other Masters in Business Intelligence & Analytics in United KingdomAcademic requirements
GPA Lower Second Class
English requirements
IELTS 6.5
TOEFL® IBT 93
Other requirements
General requirements
- We expect applications from graduates of Mathematics, Statistics, Computer Science, Engineering, Physics or Data Science or related disciplines, with a qualification equivalent to a UK BSc with Honours at 2:2 or higher.
- Evidence of knowledge of Mathematics and Programming should also be provided when the degree is not in Computer Science (i.e. transcript of degree programme or work experience). When a transcript is provided, the Mathematics and Programming grades should be equivalent to UK 60% or higher. Candidates may be interviewed prior to the offer decision.
- Two professional references – at least one must be from an academic referee
- A completed application form.
Tuition Fee
To alway see correct tuition fees
-
International
12654 GBP/yearTuition FeeBased on the tuition of 23200 GBP for the full programme during 22 months. -
National
6681 GBP/yearTuition FeeBased on the tuition of 12250 GBP for the full programme during 22 months.
Living costs for Birmingham
765 - 1134 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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