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M.Sc.

DEGREE PROGRAMMESM.SC. – BUSINESS ANALYTICS

M.Sc. Business Analytics is a five-semester Work Integrated Learning Programme designed for working professionals, who are aspiring for rapid career progression in the high-growth areas of Business Analytics and Big Data, and wish to stand out in highly competitive workplaces by acquiring prestigious Master’s-level qualification from a premier institution.

Admissions are now open

Last date to apply extended till Dec 18, 2018. For detailed programme information download the brochure below

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  • Programme Highlights
  • Programme Curriculum
  • Learning Methodology
  • Eligibility Criteria
  • Fee Structure
  • How to Apply
Programme Highlights
  1. The programme offers exposure to state-of-the-art data analysis/ visualization tools such as R, SAS, Python and Tableau

  2. Practitioner-oriented insights from industry experts will help you develop solutions to real world problems using cutting edge analytical techniques

  3. The programme is of five semesters, with online classes conducted mostly on weekends or after-business hours.

  4. Semesters 1-4 cover four courses each. The 5th semester covers Dissertation/ Project Work

  5. The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learnt during the programme.

  6. The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.

  7. The education delivery methodology is a blend of classroom and experiential learning. Experiential learning consists of lab exercises, assignments, case studies and work integrated activities

*Upon completion of this programme, participants will receive an M.Sc. Business Analytics degree from BITS Pilani.
Programme Curriculum

First semester

  • Marketing

  • Management Information Systems

  • Models and Applications in Operational Research

  • Introduction to Statistical Methods

Second Semester

  • Financial Management

  • Business Data Mining

  • Advanced Statistical Methods

  • Introduction to Data Science

Third Semester

  • Supply Chain Management

  • Big Data Analytics

  • Predictive Analytics

  • Optimization Methods for Analytics

Fourth Semester

  • Analytics for Competitive Advantage

  • Elective 1

  • Elective 2

  • Elective 3

Fifth Semester

  • Elective 4

  • Project

Electives

  • Advanced Financial Modeling

  • Data Visualization

  • Financial Risk Analytics

  • HR Analytics

  • Investment Banking Analytics

  • Marketing Analytics

  • Marketing Models

  • Retail Analytics

  • Supply Chain Analytics

  • Real-time Analytics

  • Text Analytics

.

For more information on programme curriculum download the programme brochure

Choice of Electives is made available to enrolled students at the beginning of each semester. A limited selection of Electives will be offered at the discretion of the Institute.

Learning Methodology

Attend Online Lectures over weekend

Lectures are conducted live via online classes. These lectures can be attended via the internet using a computer from any location. These online classrooms offer similar levels of interactivity as regular classrooms at the BITS Pilani campus.

Classes for students admitted during the period November – December 2018 will begin during January 2019. The class schedule is announced within 1 week of completion of the admission process.

The online lectures are conducted usually over weekends for a total of 7-8 hours per week. If you miss a lecture, you can also access the recorded lecture on the internet.

DIGITAL LEARNING

Learners can access engaging learning material at their own pace which includes recorded lectures from BITS Pilani faculty members, course handouts and recorded lab content where applicable

CONTINUOUS ASSESSMENT

Continuous Assessment includes graded Assignments/ Quizzes, Mid-semester exam, and Comprehensive Exam

EXPERIENTIAL LEARNING

The programme emphasises on Experiential Learning that allows learners to apply concepts learnt in classroom in simulated, and real work situations. This is achieved through:

Data analysis/ visualization tools such as Linear Optimization, Descriptive Statistics, Multivariate Analysis & Mining Algorithms using R, Python, Excel and Excel Solver

Case Studies and Assignments: Carefully chosen real-world cases & assignments are both discussed and used as problem-solving exercises during the programme

Dissertation/ Project Work: The fifth semester offers an opportunity for learners to apply their knowledge gained during the programme to a real-world like complex project. The learner is expected to demonstrate understanding of vital principles learnt across semesters and their ability to successfully apply these concepts.

Eligibility Criteria

Minimum eligibility to apply: Working professionals holding B.Sc./ M.Sc./ B.E./ MCA/ MBA or equivalent are eligible to apply. Applicants with other qualifications such as B.Com. etc. may apply provided they have done a basic mathematics/ statistics at both 10+2 and Undergraduate level. At least 60% aggregate marks and minimum one year of work experience in relevant domains.

  • The programme is designed for:

  • Analysts who wish to hone their technical skills in Statistics and IT

  • Statisticians who want to pick up programming skills and domain knowledge

  • IT professionals who need to hone their quantitative knowledge and domain understanding

Fee Structure
  • The following fees schedule is applicable for candidates seeking new admission during the academic year 2018-19

    Application Fees (one time) : INR 1,500

    Admission Fees (one time) : INR 16,500

    Semester Fees (per semester) : INR 47,500

  • The one-time Application Fee is to be paid at the time of submitting the Application Form through the Online Application Centre.

  • Admission Fee (one-time) and Semester Fee (for the First Semester) are to be paid together once admission is offered to the candidate. Thus, a candidate who has been offered admission will have to pay Rs. 64,000/-. You may choose to make the payment using Netbanking/ Debit Card/ Credit Card through the Online Application Centre. Fee payment by easy-EMIs is now available. Click here to learn more

  • Semester Fee for subsequent semesters will only be payable later, i.e. at the beginning of those respective semesters.

  • Any candidate who desires to discontinue from the programme after confirmation of admission & registration for the courses specified in the admit offer letter will forfeit the total amount of fees paid.

  • For the examination centre at Dubai, in addition to the semester fees, for each semester there will be an examination centre fees of 1000 UAE Dirhams or equivalent per semester out of which 500 UAE Dirhams is to be paid at the time of appearing in Mid-semester examinations at Dubai Centre for that semester and the remaining 500 UAE Dirhams is to be paid at the time of appearing in comprehensive examinations at Dubai centre for that semester

  • All the above fees are non-refundable.

How to Apply
  • Click here to go to the BITS Pilani Online Application Center. Create your login at the Application Center by entering your unique Email ID and create a password of your choice. Once your login has been created, you can anytime access the online Application Center using your email ID and password.

  • Once you have logged in, you will see a screen showing 4 essential steps to be completed to apply for the programme of your choice.

  • Begin by clicking on Step 1 - ‘Fill/ Edit and Submit Application Form’. This will enable you to select the programme of your choice. After you have chosen your programme, you will be asked to fill your details in an online form. You must fill all details and press ‘Submit’ button given at the bottom of the form.

  • Take the next step by clicking on Step 2 - 'Download Application PDF Copy’. This will download a pdf copy of the application form on your computer.

  • Now, click on Step 3 - 'Pay Application Fee’ to pay INR 1,500/- using Netbanking/ Debit Card/ Credit Card.

  • Take a printout of the downloaded Application Form and note down the Application Form Number that appear on the top-right corner of the first page. This Application Form Number should be referred in all future correspondence with BITS Pilani.

  • In the printout of the downloaded Application Form, you will notice on page no. 3 a section called the Employer Consent Form. Complete the Employer Consent Form. This form needs to be signed and stamped by your organisation’s HR or any other authorised signatory of the company.

  • Further on page no. 4 of the printed Application Form is a section called the Mentor Consent Form. The Mentor Consent Form needs to be signed by the Mentor. Click here to know who could be a Mentor.

  • Further on page no. 5 of the downloaded Application Form, is a Checklist of Enclosures/ Attachments.

    • Make photocopies of the documents mentioned in this Checklist

    • Applicants are required to self-attest all academic mark sheets and certificates

  • Finally, click on Step 4 - 'Upload & Submit All Required Documents’. This will allow you to upload one-by-one the printed Application Form, Mentor Consent Form, Employer Consent Form, and all mandatory supporting documents and complete the application process. Acceptable file formats for uploading these documents are .DOC, .DOCX, .PDF, .ZIP and .JPEG.

  • Upon receipt of your Application Form and all other enclosures, the Admissions Cell will scrutinise them for completeness, accuracy and eligibility.

  • Admission Cell will intimate selected candidates by email within two weeks of submission of application with all supporting documents. The selection status can also be checked by logging in to the Online Application Centre.

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