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

Tentative Study Plan


Semester-I Semester-II
CS 1001 Programming Fundamentals* 3+0 BA 5001 Inferential Statistics & Descriptive Modelling 3+0
MT 2004 Business Math II* 3+0 BA 4001 Introduction to Decision Science 3+0
CS 2003 Data Structures and Business Applications* 3+0 MG 3001 Legal & Ethical Issues in Business Analytics 3+0
MG 5017 Advanced Research Methods 3+0        
Semester-III Semester-IV
BA 3001 Machine Learning for Business Analytics 3+1 BA 5002 Data Driven Decision Making and Optimization 3+0
MG 4014 Econometrics 3+0 BA 5003 Predictive Modelling 3+0
BA   Elective- I 3+0 BA   MS Project/MS Dissertation-II 0+3
BA   Elective-II/MS Dissertation-I 0+3        

Note: Graduates with non-business education have to study three introductory business courses during the first two semesters. The courses marked * may be exempted for students from Computer Sciences and Engineering backgrounds

Tentative Study Plan

Code Course Name Credit Hours Course Type
MG5017 Advanced Research Methods 3 Core
CS2003 Data Structures and Business Applications* 3 Core
MT2004 Business Math II* 3 Core
CS1001 Programming Fundamentals* (Deficiency Course) 3 Core
Code Course Name Credit Hours Course Type
MG3001 Legal & Ethical Issues in Business Analytics 3 Core
BA4001 Introduction to Decision Science 3 Core
BA5001 Inferential Statistics & Descriptive Modelling 3 Core
Code Course Name Credit Hours Course Type
BA Elective-II/MS Dissertation-I 3 Core
BA Elective - I 3 Elective
MG4014 Econometrics 3 Core
BA3001 Machine Learning for Business Analytics 3+1 Core
Code Course Name Credit Hours Course Type
BA MS Project/MS Dissertation-II 3 Core
BA5003 Predictive Modelling 3 Core
BA5002 Data Driven Decision Making and Optimization 3 Core