Overview
University of Leicester 's Mathematics with Data Science and Artificial Intelligence (w. optional Year In Industry) BSc is interdisciplinary, combining traditional mathematical techniques with state-of-the-art applications in the field of data science and artificial intelligence (AI). It will provide you with a sound background in the techniques of mathematics and statistics, training in data science tools, computational and programming skills, as well as an understanding of data science practice.
You will gain expertise in handling large sets of data and drawing knowledge, patterns and trends from these data sets. This degree will cover machine learning and AI, statistical and mathematical modelling and teach a range of programming languages.
Your third year includes a research project on a data science/AI topic.
Careers and employability
This course will prepare you for a career as a data professional, with career opportunities such as:
- Machine Learning Engineer
- Data Engineer
- Software Architect
- Data Science Consultant
- Data Scientist
- Data Architect
- Database Administrator.
These roles are in high demand across a broad range of sectors including healthcare, engineering, finance and marketing.
This course will equip graduates with a sound background in mathematics and statistics, provide computational and programming skills as well as developing a solid grasp of machine learning and artificial intelligence tools and an understanding of data science practice.
Get more details
Visit programme websiteProgramme Structure
Modules include:
- Calculus and Analysis
- Linear Algebra
- Probability and Statistics
- Algorithms, Data Structures and Advanced Programming
- Statistical Data Analysis
- AI for Data Science
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 36 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Leicester, United Kingdom
Disciplines
Mathematics Data Science & Big Data Artificial Intelligence View 154 other Bachelors in Data Science & Big Data in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A/AS-levels: ABB including Maths. Two AS-levels considered in place of one A-level.
- EPQ with A-levels: BBB + EPQ at grade B. A-level subjects to include Maths.
- Access to HE Diploma: Pass Diploma with a minimum of 45 credits at level 3, 30 of which must be at Distinction. Plus A-level Maths at grade A-B. We may consider substantial Level 3 Maths Access credits in place of A-level Maths. Please contact admissions regarding eligibility.
- International Baccalaureate: Pass Diploma with 30 points including grade 5 in HL Maths.
- BTEC Nationals: Pass Extended Diploma with DDM, plus grade B in A-level Maths. BTEC not accepted by itself. Please contact Admissions regarding eligibility.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents25100 GBP / year≈ 25100 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents9535 GBP / year≈ 9535 GBP / year
Additional Details
Year in industry fee:
- UK: £1,905
- International: £3,765 which is 15% of the full-time tuition fee
Living costs
Leicester
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme website
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Scholarships Information
Below you will find Bachelor's scholarship opportunities for Mathematics with Data Science and Artificial Intelligence (w. optional Year In Industry).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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