Part A consists General aptitude, reasoning, and Bachelor’s/Master’s level mathematics, Statistics and Computer Science. Maths and Stats : Probability, Operations Research, Statistics, Real Analysis, Linear Algebra. Computer Science : Data Structures, C, C++, Automata Theory, Operating Systems, Compute Architecture, Systems Programming, Discrete Mathematics, Digital Systems Design.

Part B Consists; Data Science Stream – Data Bases, Artificial Intelligence and Machine Learning, Data Warehousing, Data Mining.

Revise everything that you have studied in your under graduation. For mathematics part, Rudin is the standard. Also you can study Trench's Introduction to Real Analysis. For aptitude and reasoning part, R S Aggarwal's Quantitative aptitude will be best. Solve previous year exam papers and give mock tests as many as possible.