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Ph.D. in Business Analytics |

Mode:

Regular

Location:

Vidyavihar - Mumbai

Course Duration:

3 Years

Programme Code:

ST1752

K J Somaiya Institute of Management (KJSIM) offers a Ph.D programme in Business Analytics, designed to cultivate visionary scholars who will lead the future of data-driven decision-making. This programme goes beyond traditional research, providing a platform for scholars to explore the evolving dynamics of analytics and its pivotal role in shaping businesses worldwide.

Why Choose Business Analytics ?
Core Highlights
Research Focus Areas
Eligibility Criteria
Coursework Structure and Requirements
Scholarly Guides

Why Pursue a Research Area - Business Analytics at KJSIM?

The Business Analytics field is expanding rapidly, driven by the growing reliance on data to inform strategic decisions. The Big Data and Business Analytics market, valued at USD 245.9 billion in 2023, is projected to grow at a compound annual growth rate (CAGR) of 15% from 2024 to 2032. In such a dynamic environment, choosing the right PhD institution becomes crucial.

KJSIM stands out as a premier destination for this advanced degree. Here, scholars gain access to cutting-edge resources, a vibrant research community, and expert faculty leaders. The programme offers an in-depth exploration of key areas such as predictive and productivity analysis, reliability modelling, forecasting, and optimisation. By engaging with these critical topics, scholars develop advanced analytical skills and gain the insights necessary to influence top management decisions and drive organisational success.

Pursuing a Research Area - Business Analytics at KJSIM means joining a transformative journey where scholars are equipped to become leaders in data-driven innovation.

Core Highlights

Expert Faculty Mentorship

Learn under the guidance of renowned academics and industry experts who are at the forefront of business analytics research and application.

Interdisciplinary Research Opportunities

Engage in cross-functional research that integrates insights from finance, marketing, HR, IT, and more, providing a holistic understanding of business challenges.

State-of-the-Art Research Facilities

Access advanced technology and data analytics tools, ensuring that your research is supported by the best resources available.

Transformational Leadership:

Staying true to KJSIM's purpose of “Transforming Together,” this programme goes beyond academic excellence. It builds the development of leaders committed to driving positive change in the business world and beyond.

Flexible Learning:

The first semester requires full-time attendance, while the second semester offers a more flexible schedule to accommodate research needs.

Publication and Conference Support

Receive support for publishing your research in leading journals and presenting your findings at prestigious conferences, helping you to establish your academic reputation.

Research Focus Areas

  1. Big Data Analytics:

    Uncovering patterns and insights from vast datasets to drive business innovation.

  2. Predictive Modelling:

    Forecasting future business scenarios using advanced statistical techniques.

  3. Statistics and Quantitative Techniques:

    Applying rigorous mathematical methods to solve complex business problems.

  4. Operations Research and Optimisation:

    Enhancing business efficiency through optimised resource allocation and decision-making processes.

  5. Data Mining:

    Extracting valuable information from large datasets to inform strategic business decisions.

Eligibility Criteria

Educational Qualifications

  • A Master's degree or equivalent professional degree with at least 55% marks, as per UGC regulations.
  • Candidates awaiting the final viva-voce of their Master's degree may apply, provided they complete their degree before provisional admission.
  • Candidates with a Master's degree from a recognised foreign institution are also eligible.

Ph.D Entrance Exam

  1. All candidates must qualify in the SVU Ph.D Entrance Examination unless exempted.
  2. Exemption Criteria:
    • Qualified/valid scores in NET-JRF, JEST, or holding a JRF Fellowship with CSIR/UGC/ICAR/ICMR/DBT.
    • A valid GMAT score (350 minimum) from the past two years.
    • Five years of teaching/research experience with published research in SCOPUS/Web of Science journals, patents, or government grants (subject to submission of relevant documents).

Coursework Structure and Requirements

  • The Ph.D coursework spans one academic year, divided into two semesters. The first semester is a full-time commitment, where students are required to attend in-person sessions at the college, department, section, or laboratory as per the scheduled timetable.
  • Students must complete a total of 19 credits—14 credits in the first semester and 5 credits in the second semester. Achieving a satisfactory Cumulative Grade Point Index (CGPI) in accordance with the Ph.D regulations is mandatory for eligibility to register for the Ph.D programme.

Scholarly Guides

Sr.No. Research Guide Qualification Research Areas
1 Prof. (Dr). Sanjwani Kumar

 

 Ph.D (Management) ,M.B.A(Marketing), MSc, BSc( Science) Business Analytics, Quantitative Modelling in Marketing, Big data Analytics, Statistics
2 Prof. (Dr). Rinku Jain

 

 PhD (Mathematics) Special functions, Business Analytics
3 Prof. (Dr). Prerna M Mahindroo

 

 PhD (Operational Research), M.Phil. (Operational Research), MSc (Operational Research), BSc (H) Mathematics Optimization Models, Soft Computing, Quantitative Techniques, Business Statistics
4 Prof. (Dr) Maharana Barsharani

 

 Ph.D. (University of Mumbai, 2012) Business Analytics, Mathematical Demography, Ageing, Health Economics, Mortality, Maternal & Child Health, Gender issues, Population Policies and Programmes.

Take a Transformative Leap with KJSIM