The academic track of SP Jain’s 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.
The subjects undertaken in the first year of the program build a strong, general foundation in data science, math and computer science.
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.
Advanced learning continues in Year 3 through topics like Simulation Modelling, Data Mining, Social Web Analytics, and Big Data Processing Techniques and Platforms.
A distinguishing feature of the program is the requirement to undertake, in the final year, applied analytics capstone projects that give students practical, hands-on experience in identifying and interpreting actionable information from raw data, and using them to make informed, mathematically valid decisions.
To fulfil the requirements of the BDS program, students must complete a total of 78 credits.
SP Jain uses a system of continuous student evaluation, rather than a single end-of-semester final examination. The assessment types for the BDS 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: