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MS (Business Analytics)

FSM > Programs > Program Details
  • Program Overview
  • Tentative Study Plan

Program Overview

Program Description

The MS BA program aims to develop problem-solving skills among the students through an in-depth understanding of business analytics. This program develops unique skills in the students to analyze, synthesize and visually present data related to numerous fields of management sciences i.e., marketing, management, HR, operations and finance. The graduates of the MS BA program will be equipped with in-demand skills and knowledge required for success in their professional careers. The program is designed in a way that students with no background in business studies may also take admission in this program. However, depending on the undergraduate degree, students will be required to study deficiency courses.

Learning Outcomes

The key learning outcomes of the MS BA program are to enable our graduates: 

  • To execute effective management and analysis of data for informed decision making in the business settings.
  • To demonstrate enhanced understanding of statistical and non-statistical methodologies including regression analysis, cluster analysis, non-linear models, text analysis and prescriptive and predictive modeling, and develop skills to visually present data
  • To have expertise in using various statistical software packages e.g., R, STATA, Python, and SPSS.
  • To exhibit effective collaboration and leadership skills.
  • To have knowledge of the ethical and legal issues in data gathering, analysis and make ethically and culturally informed decisions in structured or unstructured and ambiguous situations.
  • To communicate technical information to both technical and non-technical audiences in speech, in writing and graphically.
  • To critically analyze, synthesize and solve complex unstructured business problems and encourage an aptitude for business improvement, innovation and entrepreneurial action.

Career Opportunities

An MS BA program can significantly expand the graduates’ career opportunities and increase their salary-earning potential. The graduates of MS BA can find a number of pathways to choose from, such as business analytics consultants, operations analysts, people analysts, financial analysts, and market or consumer analysts.

Admission Requirements

Eligibility Criteria

  • A degree earned from a recognized university after 16 years of education with at least 60% marks or a CGPA of at least 2.0 (on a scale of 4.0).

Selection Criteria

  • Past Academic Record (Masters and/or Bachelor Degree): 40%
  • Performance in NU Subject Admission Test and Interview: 60%

Degree Requirements

For the award of Master of Science in Business Analytics degree, a student must have:

  • Passed courses totaling at least 43 credit hours, including all courses specified as core courses.
  • Obtained CGPA of at least 2.50. 

 

 

Tentative Study Plan

MS (Business Analytics)

For Business graduates

Sr. No

Course Name

Crdt Hrs.

Semester 1

CS4089

Programming for Business Applications *

3+0

BA5005

CS5059

Applied Calculus for Business*

Database System*

3+0

3+0

MG5011

Advanced Research Methods

3+0

Sr. No

Course Name

Crdt Hrs.

Semester 2

BA5001

Inferential Statistics & Descriptive Modelling

3+0

MG5047

Decision Science for Business

3+0

MG5055

Ethics in Business Analytics

3+0

 

Sr. No

Course Name

Crdt Hrs.

Semester 3

BA5004

Machine Learning Models for Business Analytics

3+1

MG5050

Econometrics

3+0

BA5XXX

Elective- I

3+0

BA5XXX

BA5094

Elective-II OR

MS Dissertation-I

0+3

Sr. No

Course Name

Crdt Hrs.

Semester 4

BA5002

Data Driven Decision Making and Optimization

3+0

BA5XXX

Elective- III

3+0

BA5090

BA5095

 

MS Project OR

MS Dissertation-II

TOTAL

0+3

 

43

 

 

 

 

For Non-Business graduates

Sr. No

Course Name

Crdt Hrs.

Semester 1

AF4010

Accounting and Finance for Managers*

3+0

MG4005

Business Economics for Managers*

3+0

MG4006

Management & Organizational Behavior*

3+0

MG5011

Advanced Research Methods

3+0

Sr. No

Course Name

Crdt Hrs.

Semester 2

BA5001

Inferential Statistics & Descriptive Modelling

3+0

MG5047

Decision Science for Business

3+0

MG5055

Ethics in Business Analytics

3+0

 

Sr. No

Course Name

Crdt Hrs.

Semester 3

BA5004

Machine Learning for Business Analytics

3+1

MG5050

Econometrics

3+0

BA5XXX

Elective- I

3+0

BA5XXX

BA5094

Elective-II OR

MS Dissertation-I

0+3

Sr. No

Course Name

Crdt Hrs.

Semester 4

BA5002

Data Driven Decision Making and Optimization

3+0

BA5XXX

Elective- III

3+0

BA5090

BA5095

 

 

MS Project OR

MS Dissertation-II

TOTAL

 

0+3

 

43

 

Note 1: 

Registration in “MS Dissertation-I” is allowed provided the student has:

 

• 21 credits

• Passed the “Advanced Research Methods” course.

• CGPA is equal to or more than 2.5

Tentative Study Plan


Semester-1
Code Course Name Credit Hours Course Type
MG5017 Advanced Research Methods 3 Core
CS2010 Programming Fundamentals* (Business Graduate Student) 3 Core
BA5005 Applied Calculus for Business* (Business Graduate student) 3 Core
CS5059 Database System * (Business Graduate student) 3 Core
AF4010 Accounting and Finance for Managers ** (Non-Business Graduate student) 3 Core
MG4005 Business Economics for Managers ** (Non-Business Graduate student) 3 Core
MG5006 Marketing Analytics ** (Non-Business Graduate student) 3 Core
Semester-2
Code Course Name Credit Hours Course Type
BA5001 Inferential Statistics & Descriptive Modelling 3 Core
MG5047 Decision Science for Business 3 Core
MG3001 Ethical & Legal Issues in Business Analytics 3 Core
Semester-3
Code Course Name Credit Hours Course Type
BA3001 Machine Learning for Business Analytics 3+1 Core
MG4014 Econometrics 3 Core
BA Elective - I 3 Elective
BA Elective-II/MS Dissertation-I 3 Core
Semester-4
Code Course Name Credit Hours Course Type
BA5002 Data Driven Decision Making and Optimization 3 Core
BA5003 Predictive Modelling 3 Core
BA MS Project/MS Dissertation-II 3 Core