Tel: (042) 111 128 128 Follow us: Homepage Block-B, Faisal Town, Lahore.

BS (Business Analytics)

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

Program Overview


Business Analytics is the conversion of data into business insights that facilitates the decision-making process in an organization.  Harnessing the power of mathematical models, Business Analytics uses advanced tools and technologies to help each organization make the most of its data. The methods and models of analytics draw from disciplines including Computer Sciences, Operations Research, Statistics, Business Management, and others. BS (Business Analytics) program at FAST School of Management is a blend of three key elements i.e. Computer Sciences, Business Management, and Statistics. The program is aimed to provide the desired analytical skills to the students with strong critical thinking abilities who are wishing to harness the power of data to solve business issues. The program's emphasis is on the development of all-rounded communications and soft skills, critical and analytical reasoning skills, and decision-making skills with strong programming and data-handling skills.

Program Objectives

This program will offer students unique skills to analyze, synthesize, and visually present data, related to all fields of management i.e. Marketing, Management, and Finance. We aim that graduates of the program are equipped with the in-demand skills and knowledge required for success in their professional careers. This program is designed to give substantial hands-on computing skills, applied data analysis techniques, data visualization skills to solve business problems.

Program Goals

  1. Apply principles and skills of economics, marketing, and decision making to contexts and environments in data analytics.
  2. Build and enhance business intelligence capabilities by adapting the appropriate technology and software solutions.
  3. Design tested and effective advanced analytics models and simulations for decision making.
  4. Have an effective understanding of legal and ethical issues in data analytics and effectively communicate the findings in a socially and professionally responsible manner.

Learning Outcomes of the Program

The graduates of the program shall acquire:

LO1: Business Knowledge: Get a deeper understanding of business concepts. They will have basic knowledge of all functions of business management including Marketing, Finance, Accounting, and General Management. Further knowledge related to these fields shall be provided to students based on their chosen area of specialization.

LO2: Quantitative Modelling: Get the knowledge of various statistical tools and models and learn about their usability in various business situations.

LO3: Technological Skills: Students shall be able to use the latest software used in the field of business analytics including SPSS, STATA, R and Python

LO4: Critical Thinking and Problems Solving Skills: Be able to critically evaluate the business problems and identify the relevant data for a deeper analysis providing them an in-depth understanding about the complexity of problems and solve the problems using the analysis results inline with management protocols.

LO5: Alternative Perspective: Be able to evaluate the multiple perspectives of business situations and consider alternative perspectives and solutions of business problems.

LO5: Data-Driven Decision Making: Be able to use the results of the analysis for the decision-making process and identify the possible biases in the analysis while making decisions

LO6: Communication Skills: Learn about effective communication and be able to communicate technical information to both technical and non-technical audiences in speech, in writing, and graphically.

LO7: Ethics and Social Responsibility: Be aware of the ethical and legal issues in data gathering, analysis and make ethically and culturally informed decisions in structured or unstructured and ambiguous situations while keeping in view their social responsibilities.

Admission Requirements

Eligibility Criteria

  • ·         At least 60% marks in SSC (Matric) or an equivalent examination AND
  • ·         At least 50% marks in HSSC or an equivalent examination.
  • ·         Those who have taken the HSSC or an equivalent examination and are awaiting result can also apply.

Selection Criteria

Admission based on NTS-NAT Marks

  • ·         Selection is based on marks obtained in NTS NAT IE, NAT-ICS, NAT-ICOM, or NAT-IGS.
  • ·         Cut-off marks to be determined by the University.

Admission based on NU Admission Test

  • ·         Merit List is prepared by assigning 50% weight to marks obtained in Intermediate (part-I) (or an equivalent exam) AND
  • ·         50% weight is assigned to score obtained in NU Admission Test.
  • ·         In case, Intermediate result is not available, Matriculation marks are used and multiplied by a factor of 0.9 (to equate it to average Intermediate marks).

Admission based on SAT score

  • ·         Combined score of 1,000 or more in the SAT-I examination.

Degree Requirements

For the award of a BS BA degree, a student must have:

  • Passed courses totaling at least 130 credit hours, including all those courses which have been specified as Core courses.
  • Obtained a CGPA of at least 2.00


Tentative Study Plan

Code Course Name Credit Hours Course Type
CS1001 IT in Business 2+1 Core
AF1001 Fundamentals of Accounting 3 Core
MG1001 Fundamentals of Management 3 Core
MT1002 Business Math – I 3 Core
SS1001 English - I 3+1 Core
Code Course Name Credit Hours Course Type
SS1006 English – II 3+1 Core
AF1002 Financial Accounting 3+1 Core
MT1005 Business Statistics 3 Core
MT2004 Business Math – II 3 Core
MS1002 Islamic Studies/Ethics 3 Core
Code Course Name Credit Hours Course Type
CS1002 Programming Fundamentals 3+1 Core
MT2001 Statistical Inference 3+1 Core
SS2002 Microeconomics 3 Core
SS2008 Business Communication - I 3 Core
MG1002 Marketing Management 3 Core
Code Course Name Credit Hours Course Type
BA2006 Fundamentals of Business Analytics 3 Core
CS2003 Data Structures & Business Applications 3+1 Core
AF2004 Business Finance 3 Core
SS2006 Macroeconomics 3 Core
SS Psychology/Sociology 3 Core
Code Course Name Credit Hours Course Type
MG3004 Human Resource Management 3 Core
AF3001 Financial Management 3+1 Core
MG3003 Basic Econometrics 3+1 Core
CS2005 Database Systems 3+1 Core
MG2003 Consumer Behaviour 3 Core
Code Course Name Credit Hours Course Type
MG3005 Methods in Business Research 3+1 Core
BA3001 Machine Learning for Business Analytics 3+1 Core
BA3002 Business Data and Text Mining 3 Core
MG3001 Legal and ethical Issues in Business Analytics 3 Core
MG/AF/BA MG/AF/BA Elective – I 3 Elective
Code Course Name Credit Hours Course Type
BA4001 Decision Science for Business 3 Core
BA4091 Final Year Project – I 3 Core
MG4011 Entrepreneurship 3 Core
SS1003 Pakistan Studies 3 Core
MG/AF/BA MG/AF/BA Elective – II 3 Elective
Code Course Name Credit Hours Course Type
BA4092 Final Year Project – II 3 Core
BA4002 Predictive Analytics 3 Core
BA4003 Business Strategy 3 Core
MG/AF/BA MG/AF/BA Elective – III 3 Elective
MG/AF/BA MG/AF/BA Elective – IV 3 Elective