As per a report by Allied Market Research, the Global Big Data and Business Analytics Market is expected to grow at a CAGR of 10.9% to reach $420 Billion by 2027.
Be an expert Business Analyst with BITS Pilani Post Graduate Diploma Programme in Business Analytics. It is a two-semester Work Integrated Learning Programme meant for working professionals who aspire for rapid career progression in the high-growth areas of Business Analytics and Big Data, and thus, wish to stand out in highly competitive workplace.
Option to submit fee using easy-EMI with 0% interest and 0 down payment.
Admission Enquiry
Please fill the below fields for fee details, programme information, and application instructions
Student Speak
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Shruti Kothadia
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Sanjay Gupta speaks about his experience with the programme
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Paroma Sinha speaks about her experience with the programme
- Programme Highlights
- Programme Curriculum
- Eligibility
- Fee Structure
- How to Apply
- Mode of Examination
- Mode of Learning
Programme Highlights
- Learn without a career break with live online lectures conducted mostly on weekends or after office hours by BITS Pilani faculty members and experienced industry professionals.
- This programme is of 2 semesters and can be pursued only by working professionals. You can pursue the programme without any career break.
- The programme will also enable working professionals to attend contact classes from anywhere over a technology-enabled platform. The contact classes will be conducted mostly on weekends or after business hours.
- The students are provided with ample opportunities to visit the Campus and practice some assignments during the Open Lab Weeks
- 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.
- 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.
- Participants who successfully complete the programme will become members of an elite & global community of BITS Pilani Alumni.
- Option to submit fee using easy-EMI with 0% interest and 0 down payment.
Programme Curriculum
First Semester
- Quantitative Methods
- Data Visualization and Communication
- Advanced Statistical Methods
- Foundations of Data Science
Second Semester
- Predictive Analytics
- Analytics for Competitive Advantage
- Elective 1
- Elective 2
Electives
- Financial Analytics
- Project Management
- Analytics for HR
- Models in Marketing
- Supply Chain Analytics
- Analytics for Marketing
- Analytics for Retail Industry
- Operations Research Models
- Analytics for Investment Banking
- Financial Risk Models
- Analytical Models in Finance
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.
Eligibility
To apply, candidates must possess one of the following qualifications:
- Employed professionals holding B.E./ B.Tech./ M.Sc./ Integrated First Degree of BITS or its equivalent with at least 60% aggregate marks, and minimum one year relevant work experience after the completion of the degree
OR - Employed professionals holding a three year undergraduate degree such as B.Sc./ B.Com./ BCA or equivalent with at least 60% aggregate marks, and having studied at least one course in mathematics or statistics at the high school or higher level, and minimum two years of relevant work experience after the completion of the degree
Fee Structure
For details on Fee Structure, please click here to download the programme brochure.
How to Apply
For application instructions, programme information and fee structure, please click here to download the Programme Brochure
Mode of Examination
For mode of examinations, please click here to download the programme brochure.
Mode of Learning
Mode of Learning
The Mode of Learning used in this programme is called - Work Integrated Learning. Internationally, Work Integrated Learning (WIL) is defined as "An educational approach involving three parties - the student, educational institution, and employer organization(s) - consisting of authentic work-focused experiences as an intentional component of the curriculum. Students learn through active engagement in purposeful work tasks, which enable the integration of theory with meaningful practice that is relevant to the students' discipline of study and/or professional development*.
An education model can be considered as WIL if and only if:
- The programs are designed and developed by the institute in collaboration with industry.
- Work-focused experiences form an active part of the curriculum.
- The program structure, pedagogy and assessment enable integration of theory-with relevant practice.
The innovative Work Integrated Learning Programs (WILP) of BITS Pilani are quite aligned with the above definition and requirements. The programs are designed in collaboration with its industry partners, subject matter experts from industry and academia that enable the students to remain relevant in their chosen profession, grow in their career and retain the habit of lifelong learning. The continued availability of workplace related experiences along with the weekly instruction sessions promote integration of theory with practice. An active participation of the organization mentor in the learning process of the student plays a key role. Case studies, simulation exercises, labs and projects further strengthen this integration.
The WILP of BITS Pilani is comparable to its campus-based programs in terms of structure, rigor, instruction, labs, assessment, faculty profile and learning support. The pervasive adoption of technology in all its academic processes makes the same high-quality education of BITS Pilani available to the aspirants at scale with the required flexibility.
Key Benefits of BITS Pilani WILP
1) Can pursue the programme without any career break and along with the job.
2) The programme curriculum is highly relevant to sectors, industries and organisations they work for
3) In addition to the institute, the learning experience of working professionals in the programme is also supported by the employer organisation and Industry Mentors.
4) Effective use of technology to deliver a range of learning interventions at the location of the working professional such as faculty contact sessions, asynchronous learning materials, remote, virtual and cloud labs, Learner support, peer to peer collaboration etc.
5) Contact sessions with faculty take place mostly over weekends or after business hours and are conducted over a technology platform that can be accessed from anywhere.
6) Mid semester and End semester examinations for every semester are conducted mostly at designated examination centres distributed across the country (for details refer to link mode of examinations)
7) Learners can access engaging learning material which includes recorded lectures from BITS Pilani faculty members, course handouts and recorded lab content where applicable.
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, Machine Learning & Mining Algorithms using R, Python, Excel and Excel Solver
CONTINUOUS ASSESSMENT
Continuous Assessment includes graded Assignments/ Quizzes, Mid-semester exam, and Comprehensive Exam.
CASE STUDIES AND ASSIGNMENTS
Carefully chosen real-world cases & assignments are both discussed and used as problem-solving exercises during the programme.