The 4 years BS Mathematics with data Science program is designed to build the capacity of students so that the passing graduates should have better job scopes.
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The BSMDS Program is an exciting initiative of the Department of Science and Humanities, Faculty of Engineering. The program explores the theoretical foundations of AI and data science and chooses a practical approach to mathematics applied to Data Science. The world we know today is inundated with information from databases, sensors, digital images, streaming video, online and financial transactions, satellite and medical imagery, and more. A novel mix of subjects, including Mathematical Foundations, computer programming, statistics, data analytics, programming for data science, software engineering, digital communications, machine learning, artificial intelligence, and natural language processing, help the graduates build their skills and knowledge base to contribute professionally to the Data Science, AI, Business Analytics industries and academia.
Possible Job Placement
· Data Science Engineering
· Artificial Intelligence
· Business Analytics
· Financial Technologies and Financial Institutions
· Academia and Research
Program Duration
Minimum: 4 years (8 Regular semesters)
Maximum: 6 Years
Degree Requirements
A student must successfully complete the coursework outlined in this degree study plan with a minimum of 137 Credit Hours and attain a minimum CGPA of 2.0 out of 4.0.
Program Eligibility
The candidate must have passed a Higher Secondary Certificate (HSSC) in Mathematics OR any other examination of a Local / Foreign University / Educational Institution / Examining Body, equivalent to HSSC with Mathematics. IBCC will determine equivalence and the percentage of marks in such cases.
Scheme of Study for Bachelor of Science in Mathematics with Data Science :
A tentative plan of study is given below for the Bachelor of Science in Mathematics With Data Science.
List of Semesters
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Title Credit Hours Pre-Requisite Islamic Studies 2 0 2 - English Composition and Comprehension 3 0 3 - Introduction to ICT 2 1 3 - Discrete Mathematics / Structure 3 0 3 - Programming Fundamentals 3 1 4 - Total 15