M.Sc Business Analytics at MSCE

Manipal

Lead the future of business through data-driven intelligence

The MSc Business Analytics is a two-year postgraduate program that trains you to become a future-ready analytics professional. The program builds your expertise in applied statistics, econometrics, machine learning, optimisation, and advanced business applications. As part of the master’s degree in business analytics, you work extensively with industry-standard tools such as Python, R, SQL, Tableau, Power BI, and cloud platforms, ensuring your technical skills align with global requirements.

You gain practical exposure through live projects, research-driven assignments, and industry internships, with flexibility to pursue electives and a Semester Abroad. With specialisations in Financial Analytics, HR Analytics, and Social Media Marketing Analytics, the Master of Science (Business Analytics) program allows you to customise your academic pathway and position yourself in high-growth domains.

Program Highlights

Industry-Relevant Curriculum: Learn through an MSc Business Analytics curriculum aligned with business needs, integrating analytics, programming, and strategy.

Experiential Learning Approach: Apply classroom knowledge through live projects, research work, and real business data.

Specialisations and Global Exposure: Choose electives in emerging fields and benefit from opportunities such as Semester Abroad.

Career-Ready Outcomes: Prepare for diverse roles across banking, IT, healthcare, retail, and consulting with a master’s in business analytics.

Lab Work

Advanced analytics and computer labs with Python, R, SQL, Tableau, Power BI, and cloud computing platforms. A Bloomberg Lab supports real-time financial data analysis and decision-making practice.

Industry Projects

Live projects addressing current challenges across finance, IT, retail, and healthcare.

Internships

Dedicate your final semester of the master’s degree in business analytics to a full-time industry internship for at least 16 weeks.

Lab Work

Advanced analytics and computer labs with Python, R, SQL, Tableau, Power BI, and cloud computing platforms. A Bloomberg Lab supports real-time financial data analysis and decision-making practice.

Lab Work

Advanced analytics and computer labs with Python, R, SQL, Tableau, Power BI, and cloud computing platforms. A Bloomberg Lab supports real-time financial data analysis and decision-making practice.

Admissions Path

Apply Online

Submit Eligibility documents

Personal Interview

Screening

Provisional Admission Offer

Selection Criteria 

Screening based on PI and Previous Academic Records

Note

Provisional Admission offered to shortlisted candidates

Scholarships

Degree / Marks/ Board

UG: 80% aggregate in 12th (as per admission criteria) PG: 70% aggregate in Undergraduate (UG)

Entrance Test

As applicable to the respective program

Scholarship on program fee

10% fee waiver

Scholarship on hostel fee

Not Applicable

Room type

Not Applicable

Monthly Stipend

Not Applicable

Continuation of Scholarship

The award of Fee Waiver for the subsequent years will be the same as given at the time of admission in the first year. Scholarship will be extended in the subsequent year only to those students who have cleared all subjects in the University Examinations of previous year before the due date for payment of annual program fee. Students who are promoted to next year with failures (F) / Incomplete (I) / Detention (DT) grades, will NOT be eligible for fee waiver for that academic year. Fee Waiver will be forfeited in the instances of irregularity in attendance, proven charges of indiscipline, bringing disrepute to the Department / Institution / University etc.

Withdrawal Policy

In case the candidate leaves the course before the course completion (for any reason), he / she MUST reimburse the total program fee (as per Prospectus 2025) for the years of scholarship utilized, back to MAHE Manipal.

To Know More

Program Highlights

Industry-Relevant Curriculum: Learn through an MSc Business Analytics curriculum aligned with business needs, integrating analytics, programming, and strategy.

Experiential Learning Approach: Apply classroom knowledge through live projects, research work, and real business data.

Specialisations and Global Exposure: Choose electives in emerging fields and benefit from opportunities such as Semester Abroad.

Career-Ready Outcomes: Prepare for diverse roles across banking, IT, healthcare, retail, and consulting with a master’s in business analytics.

Lab Work

Advanced analytics and computer labs with Python, R, SQL, Tableau, Power BI, and cloud computing platforms. A Bloomberg Lab supports real-time financial data analysis and decision-making practice.

Industry Projects

Live projects addressing current challenges across finance, IT, retail, and healthcare.

Internships

Dedicate your final semester of the master’s degree in business analytics to a full-time industry internship for at least 16 weeks.

Lab Work

Advanced analytics and computer labs with Python, R, SQL, Tableau, Power BI, and cloud computing platforms. A Bloomberg Lab supports real-time financial data analysis and decision-making practice.

Lab Work

Advanced analytics and computer labs with Python, R, SQL, Tableau, Power BI, and cloud computing platforms. A Bloomberg Lab supports real-time financial data analysis and decision-making practice.

Program Details

Outcomes
Careers

Upon the completion of this program, you can:

Master decision-making frameworks by applying finance, marketing, operations, and HR domain knowledge with analytics tools.

Develop proficiency in business data handling, database management, and wrangling.

Apply statistical methods, econometric models, and AI/ML techniques to solve structured and unstructured problems.

Design and build analytics-driven solutions using advanced programming and visualisation platforms.

Embrace research, innovation, and entrepreneurship with an eye toward sustainable business practices.

Become a continuous learner, adapting to technological advances while applying analytics for societal benefit.

Admissions Path

Apply Online

Submit Eligibility documents

Personal Interview

Screening

Provisional Admission Offer

Selection Criteria 

Screening based on PI and Previous Academic Records

Note

Provisional Admission offered to shortlisted candidates

Selection Criteria 

Screening based on PI and Previous Academic Records

Note

Provisional Admission offered to shortlisted candidates

Curriculum and Fees

Year 1
Year 2

Foundation in applied statistics, econometrics, machine learning, data visualisation, and business domains such as finance, marketing, and operations using tools like Python, R, and SQL.

Program Duration

2 Years

Total Program fees

General:

INR 5,70,000

Total Program fees

NRI/Foreign:

USD 8,900

Scholarships

Degree / Marks/ Board

UG: 80% aggregate in 12th (as per admission criteria) PG: 70% aggregate in Undergraduate (UG)

Entrance Test

As applicable to the respective program

Scholarship on program fee

10% fee waiver

Scholarship on hostel fee

Not Applicable

Room type

Not Applicable

Monthly Stipend

Not Applicable

Continuation of Scholarship

Withdrawal Policy

To Know More

M.Sc Business Analytics at MSCE

Lead the future of business through data-driven intelligence

Program Highlights

Upon the completion of this program, you can:

Industry and Academia Connect

Qualification

2 Years

INR 5,70,000

USD 8,900

Program Highlights

Upon the completion of this program, you can:

Industry and Academia Connect

2 Years

INR 5,70,000

USD 8,900