BITS Pilani MBA Admission 2022 – Birla Institute of Technology and Science (BITS) invited for admission to Two-year (On-campus) MBA in Business Analytics in the Department of Management, Pilani Campus for Academic Year 2022-23. The programme is offered through the Department of Management (DOM) at the Pilani campus. Apply online. Online application will close on Feb 21, 2022. BITS Pilani is India’s highest ranked non-Government Institute as declared in QS Asia (2021)
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- MBA programme fee is INR 11.10 lakhs
- Last date to apply for admission is February 21, 2022
- Total intake for the MBA in Business Analytics 2022-24 batch is 80 students
- The application fee is INR 3,300
BITSoM MBA Admission 2022
Important dates and deadlines (Tentative):
Activity | Date |
Start of application form | December 03, 2021 |
Deadline for online submission of the application | February 21, 2022 |
Deadline to edit submitted applications to incorporate corrections | March 01 – 06, 2022 |
Release of admit card for Business Analytics Aptitude Test | March 13, 2022 |
Date of Business Analytics Aptitude Test | March 27, 2022 |
Second Round (GD/PI WAT/ Extempore etc) | March 28 & 29, 2022 |
Announcement of First List and Waitlist | April 23, 2022 |
Announcement of waitlist(s) | TBA |
Submission of fees by candidates | TBA |
Start of preparatory course | TBA |
Date for Online/Offline Reporting | TBA |
Date for start of the Programme | TBA |
Eligibility:
BTech/ BE/ BPharma/ BArch/ MCA/ MSc/ First Degree of BITS Pilani or equivalent, with minimum 60% in aggregate or equivalent CGPA in the Qualifying Degree. The applicant should have taken mathematics/statistics as a subject in 12th standard with at least 60% marks in either of these subjects.
Selection Process
Candidates will be required to appear for the Business Analytics Aptitude Test (BAAT) conducted by BITS Pilani. Candidates will be shortlisted for Personal Interview on the basis of their performance in BAAT. Final selection will be based on overall performance in i) Business Analytics Aptitude Test (BAAT), ii) Personal Interview & iii) CAT#/XAT/GMAT (if available), along with prior work experience, and previous academic history
Syllabus for Business Analytics Aptitude Test The Business Analytics Aptitude Test (BAAT) for admission to the Two-year (on-campus) MBA in Business Analytics in the Academic Year 2021-22 will comprise of a) Management Aptitude Section and b) Analytics Aptitude Section. The syllabus and pattern is as follows:
BAAT 2022 Syllabus
A) Management Aptitude Section: This section will measure management aptitude in three areas– Quantitative Ability, Verbal Ability & Reading Comprehension and Data Interpretation & Logical Reasoning. The duration of this section of the test will be 2 hours and the questions will be multiple choice. Verbal Ability: Verbal Reasoning, Sentence completion, Grammar, Syllogisms, Jumbled paragraphs, Para Completion and inference, Contextual usage, Foreign language words used in English, Reading Comprehension, Analogies, Sentence correction, Verbal Logic, Different usage of same word, Idioms, Parajumbles, Antonyms. Data Interpretation and Logical Reasoning: Blood Relations, Series, Proposition, Direction Sense, Coding-Decoding, Assumptions, Puzzles, Clocks and Calendars, Statements, Data Arrangement, Family Tree, Binary Logic, Seating Arrangement, Sets & Caselets, Syllogism, Venn Diagram, Data Structures, Tables & Pie Charts, Data Sufficiency, Bars & Line Graphs. Quantitative Aptitude: Geometry, Trigonometry, Algebra, Mensuration, Partnership (Accounts), Profit & Loss, Ratios and Proportion, In-equations Quadratic and linear equations, Surds and Indices, Time Speed-Distance, Number System, Geometric Progression, Inequalities, Work and Time, Percentages, Logarithms.
B) Analytics Aptitude Section: The objective of the analytics aptitude test is to check candidate’s basic aptitude on computers and mathematics. The duration of the test may be of 1 hour and the questions will be of multiple choice from Matrices; Linear Algebra; Coordinate geometry in two dimensions, Basic Differential and Integral Calculus; Numerical Analysis; Probability and combination; Fundamental Programming Concepts; Basic Data Structures (arrays, lists, stacks, and queues); Boolean Algebra.