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.
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.
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.
For the award of a BS BA degree, a student must have:
Semester-1 | |||
---|---|---|---|
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 |
Semester-2 | |||
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 |
Semester-3 | |||
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 |
Semester-4 | |||
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 |
Semester-5 | |||
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 |
Semester-6 | |||
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 |
Semester-7 | |||
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 |
Semester-8 | |||
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 |