PROGRAMME HIGHLIGHTS

Data Science and Business Analytics Bachelor’s Programme

In association with University of London with Academic Direction of London School of Economics (LSE)

A FOUR YEAR PROGRAMME (FOUNDATION YEAR + B.Sc.)

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

PROGRAMME DETAILS

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:

  • develop competency in the application of statistical and machine learning techniques at a high level.
  • provides a sound knowledge of the principles underlying standard applications of probability and statistics.
  • provide practical skills of applied data science and business analytics to inform commercial and policy decisions.
  • Methodologies to handle complex mathematical and statistical models in order to tackle real-world commercial or public policy problems in various disciplines.
  • A variety of statistical software packages to conduct data analysis and draw conclusions and actionable insights from computer output.
  • Applications of data science in finance, economics, business, marketing and beyond.
  1. General Secondary Education Certificate with an overall average of 85% and above: Mathematics passed at 90% and above in final year of schooling (preferred/desirable).
  2. Proof of English language proficiency:
    1. IELTS score 6.0 (with a minimum 5.5 in each component) OR
    2. BIBF English Assessment B2 and higher.
  3. The Shahadat Al-Thanawaya AlAama is considered comparable to the General Certificate of Secondary Education ((GCSE), grades A*-C) standard in the UK6.
  4. Statement of Graduation from the Ministry of Education.
  5. Passport Copy.
  6. Smart Card (ID Card) Copy.
  7. Medical Report from a Public/ Approved Health Care Provider.
  8. Letter for Enrolment from UoL which will be considered after a score of 90% and above in Introduction to Mathematics & Introduction to Statistics

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)
YEAR 1
1. EC1002 EC1002 Introduction to Economics
2. and 3.

Either MT1173 & MT1174 or MT1186 & MN1178

 MT1173 Algebra
MT1174 Calculus
MT1186 Mathematical Methods
MN1178 Business and Management in a Global Context
4. ST104A & ST104B ST104A & ST104B Statistics 1 & Statistics 2
YEAR 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
MT2116 Abstract Mathematics
IS2184 Information Systems Management
YEAR 3
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
  • A mark of excellence: Gain a degree from the University of London (with academic direction from the LSE), a mark of excellence, respected worldwide since 1858.
  • Study without relocating: Study at the BIBF and gain a prestigious qualification. With no travel, relocation or accommodation costs, studying a University of London programme at a distance is more affordable than going to London to study on campus.
  • Quality of curriculum: The programmes in this prospectus are developed and examined/assessed by academics at LSE, a member institution of the University of London and one of the world›s leading social science universities.
  • Employability: Develop transferable employment skills such as problem-solving, analysis and self-motivation which are sought after by top employers worldwide.
  • Global alumni network: On graduation join a global community of influential alumni, from leaders in business and industry to Nobel Prize winners.

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:

  1. Data Analyst
  2. Systems Analyst
  3. Business Systems Analyst
  4. Data Architect
  5. Solutions Architect
  6. Financial Analyst
  7. Data Science Specialist
  8. Machine Learning Scientist
  9. Big Data Scientist
  10. Data Scientist
  11. Decision Scientist
  12. Business Analyst
  13. Enterprise Information Architect
  14. Operations Research Analyst
  15. Web Analyst
  16. Marketing Analyst
  17. Technical Business Analyst
  18. Statistical Consultant

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