Bachelor of Data Science

The academic track of SP Jain’s Bachelor of Data Science (BDS) program is made of a blend of core, ethics and employability skills and industry-collaborated projects. Our curriculum is built on the principle that subjects get more and more specialised as you progress through the program.

Year 1

The subjects undertaken in the first year of the program build a strong, general foundation in data science, math and computer science.

Year 2

In Year 2, mathematical and analytical topics are explored in considerable depth, and students are taught subjects like Data Integration and Warehousing, Advanced Calculus, Algorithms and Data Structures, Programming for Analytics, Machine Learning and Advanced Linear Algebra and Applications.

Year 3

Advanced learning continues in Year 3 through topics like Simulation Modelling, Data Mining, Social Web Analytics, and Big Data Processing Techniques and Platforms.

ASSESSMENT METHODS

SP Jain uses a system of continuous student evaluation rather than a single end-of-semester final examination. The assessment types for the Bachelor of Data Science program include organisational case studies, simulation exercises, prototype development and exhibition, reflective assignment reports, programming and laboratory exercise, tutorial exercises, use of analytical software in the classroom, simulations, mid-term exams, final exams, business decision making reports, and industry projects and reports.

To learn more about our assessment methods, please refer to the Student Handbook:

VIEW STUDENT HANDBOOK