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Data Science, BSc (Hons), with industry placement

Lancaster University, United Kingdom

 
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Subject ranking

computer science
UK / USNews
7th
Computer Science & Engineering
UK / ARWU
9th
Computer Science and Information Systems
UK / QS
10th

Costs

Course feesS$42.5K / year
Entertainment, books
food & rent
S$16.8K / year
Beer S$8
MacDonalds S$15
Cinema S$12
Coffee S$5
TotalS$59.3K / year

Entry requirements

A Level AAA
Diploma 3.5
International Baccalaureate 36

Scholarships

Lancaster Global Scholarship
£2000 for tuition
Limited quantity
Lancaster Management School Master's Scholarship
Up to £8300 for tuition
Limited quantity
British Chevening Scholarships
100% for tuition and living expenses
Limited quantity

Information

Course
Code
G901(1)
Upcoming
Intakes
Oct 2024
Course
Website (External)
Pathway
Programmes
See pathways
University
Information
WHATSAPP
+65 9650 3225
HOTLINE
+65 6333 1300

Duration

4 years
Graduate
2028
About the course

Data science plays a vital role in all aspects of the modern world. Our programme will ensure you have a strong foundation in this rapidly expanding, highly in-demand field to achieve your career aspirations.Our programme delivers a broad yet rigorous grounding in computer science and statistics, adopting both theoretical and practical learning approaches. You will gain cutting-edge knowledge and skills through state-of-the-art equipment and excellent teaching offered by both the School of Computing and Communications and the Department of Mathematics and Statistics.This engaging programme, and our reputation for excellence in research, means that you will receive high quality teaching delivered by academics who are experts in their field. Throughout the three years, you will develop a range of discipline specific skills and gain specialist knowledge that will prepare you for your chosen career.During your first year, you will gain a comprehensive understanding of the fundamental principles of computer science, and will simultaneously develop your knowledge and understanding of mathematical methods and concepts. Bringing these two fields together into data science fundamentals, you will also enhance your data analysis, problem-solving and quantitative reasoning skills.In the second year, you will further deepen your knowledge in linear algebra, probability and statistics, as well as your foundational understanding, programming, and software design skills. While studying these topics, you will complete our Project Skills module, which will provide you with the chance to enhance your research and employment skills through individual and group projects designed for data scientists. This will give you experience of approaching a data science problem in the real-world.In third year you will undertake a 12 month placement which will allow you to apply the knowledge and skills that you’ve learnt in Years 1 and 2, and to gain invaluable experience which will make you highly employable when you graduate. As well as your paid employment, you will submit monthly learning logs reflecting on your experience.Your final year will give you the opportunity to specialise in a range of enriching research-informed optional modules, as well as undertaking a substantial data science individual project. In this project you will work closely with one of our academics, expand your problem-solving abilities, and draw upon the skills and knowledge that you have gained throughout your degree. This will be great experience for you to draw upon in an interview and in your career.The University will use all reasonable effort to support you to find a suitable placement for your studies. While a placement role may not be available in a field or organisation that is directly related to your academic studies or career aspirations, all placement roles offer valuable experience of working at a graduate level and gaining a range of professional skills.If you are unsuccessful in securing a suitable placement for your third year, you will be able to transfer to the equivalent non-placement degree scheme and would continue with your studies at Lancaster, finishing your degree after your third year. The University offers a range of shorter placement and internship opportunities for which you would be welcome to apply.We are working to satisfy the emerging requirements for Data Science accreditation as defined by the appropriate professional bodies (such as the British Computer Society, Royal Statistical Society).

A local representative of Lancaster University in Singapore is available online to assist you with enquiries about this course.