- Scholarships, Waivers and Loans
- Quick Links
- Contact Us
In association with University of London with Academic Direction of London School of Economics (LSE)
The BSc in Data Science and Business Analytics prepares you for postgraduate opportunities and rewarding careers in data science, analytics, and other growing fields. This degree will also provide you with essential training in probability, statistics, mathematics and computing tools for the visualization and analysis of large datasets deriving valuable insights from data. The programme has a strong focus on methodology, but also on applications in finance and economics as well as in business, marketing and beyond.
SCHOLARSHIP OPPORTUNITIES AVAILABLE FOR TOP ACHIEVERS
To include Foundation Year along with 3 years of study in the UoL programme.
Varied Career Opportunities
Science of the Future
Free Seats for Top Achievers
University of London Curriculum
The BSc in Data Science and Business Analytics prepares you for postgraduate opportunities and rewarding careers in data science, analytics and other growing fields. With Academic direction from the globally renowned London School of Economics and Political Science (LSE) this degree enables students of various backgrounds to earn a world-class degree without relocating. This degree will also provide you with essential training in probability, statistics, mathematics and computing tools for the visualization and analysis of large datasets deriving valuable insights from data. The programme has a strong focus on methodology, but also on applications in finance and economics as well as in business, marketing and beyond. Developed in response to the clamorous demand for data scientists across every business area, these programmes equip students with the knowledge and skills to capture the potential of big data to deliver transformational solutions to real world problems.
Studying this programme, you will understand:
The programme is a 4-year degree which includes the Foundation Year and 3 years majoring in DSBA. In the Foundation Year, students will gradually introduce students to the fundamental knowledge areas of the Business world. Below is the study plan for the Foundation Programme:
|Code||Semester I||Code||Semester II|
|BST100||Emerging Business Trends||STA100||Introduction to Statistics|
|MAT100||Introduction to Mathematics for Business and Finance I||AWP100||Academic Writing and Presentation Skills|
|BEN100||Business English||ECO100||Introduction to Economics|
|ACS100||Academic Study Skills||ACF100||Principles of Accounting & Finance|
In addition to the above study plan, students will also be enrolled in Advanced Mathematics and Advanced Statistics modules during their Foundation Year, which will act as bridging the gap between what students have learned in Foundation and what is required to succeed in the UoL DSBA programme.
Upon the successful completion of the Foundation Programme and ensuring the scores of 90% and above in both MAT100 and STA100, students will be eligible to enroll in the DSBA programme accordingly.
|Degree Point||Course Code(s)||Course Name(s)|
|1. EC1002||EC1002||Introduction to Economics|
|2. and 3.
Either MT1173 & MT1174 or MT1186 & MN1178
|MN1178||Business and Management in a Global Context|
|4. ST104A & ST104B||ST104A & ST104B||Statistics 1 & Statistics 2|
|5. ST2195||ST2195||Programming for Data Science|
|6. ST2187||ST2187||Business Analytics: Applied Modelling and Prediction|
|7. ST2133 & ST2134||ST2133 & ST2134||Advanced Statistics: Distribution Theory|
|Advanced Statistics: Statistical Inference|
|8. EC2020 or MT2116 or IS2184||EC2020||Elements of Econometrics|
|IS2184||Information Systems Management|
|9. ST3188||ST3188||Statistical Methods for Market Research|
|10. ST3189||ST3189||Machine Learning|
|11. One 300 course from Selection Groups E, M or N||Click Here|
|12. Any 100, 200 or 300 course (or two half courses) from any Selection Group||Click Here|
According to the world economic forum's future of work report 2020, Data Analysts & Scientists are leading the roles of the future, ranking it as the first in demand increase across multiple industries.
The different types of career paths could be: