BS Business Analytics (4 Years Program)

“Empowering Minds to Lead the Business World”

Why This Program

The BS in Business Analytics is designed to prepare the next generation of business professionals who can transform raw data into actionable insights and strategic decisions. In today’s competitive business landscape, organizations are rapidly shifting from intuition-based decision-making to data-driven management.

While most universities in Pakistan offer degrees in business or computing, very few integrate the two through applied data analytics and business intelligence. The BS Business Analytics program at Mohammad Ali Jinnah University fills this gap by equipping graduates with the ability to analyze data, identify patterns, predict outcomes, and provide insights that drive performance across industries.

This program directly supports FoBA’s mission to develop analytical, innovative, and technologically adaptive business leaders capable of steering organizations through digital transformation.

Program Philosophy

The program blends three key domains, business knowledge, statistical reasoning, and computational analytics. Students will develop expertise in data interpretation, visualization, and strategic decision-making using modern tools such as Power BI, Tableau, R, Python, SAP Analytics Cloud, and SQL. The emphasis is on cultivating data translators, professionals who can bridge the gap between technical data scientists and business decision-makers.

For Whom This Program Is Designed?

This program is ideal for students who:

Have an analytical mindset and enjoy working with data and numbers.

Want to pursue a career where data meets business strategy.

Aim to work in roles such as data analyst, business intelligence specialist, financial analyst, marketing analyst, or data-driven manager.

Seek a competitive edge by mastering digital tools that define the future of work.

The BSBA program particularly serves students who aspire to apply quantitative reasoning to business problems rather than focusing purely on management (as in BBA) or programming (as in Business Computing).

Career Prospects

Each candidate for the BBA degree is required to complete 132 Cr. Hrs. as per the following detail:

 

Career Role Industry Sector Core Competencies
Business Analyst / Data Analyst Banking, E-commerce, Manufacturing Data modeling, Visualization, Power BI, SQL
Business Intelligence Specialist Tech, FMCG, Consulting BI tools, Predictive Analytics, Reporting
Marketing Analyst Retail, Digital Media Data storytelling, Customer analytics
Financial Data Analyst FinTech, Investment Forecasting, Python/R, Financial modeling
Supply Chain Analyst Logistics, Manufacturing SAP MM, Demand Forecasting, Optimization
Data-Driven Manager Any sector Decision analytics, KPI management, Strategic insight

Program Learning Outcomes (PLOs)

Upon completion of the BS Business Analytics program, graduates will be able to:

  1. Demonstrate understanding of business concepts, statistics, and analytical methods relevant to organizational decision-making.
  2. Collect, manage, and analyze data using quantitative, statistical, and computational techniques to derive meaningful insights.
  3. Apply tools such as Python, R, SQL, Power BI, Tableau, and SAP Analytics Cloud to develop analytical models and visualizations.
  4. Develop dashboards, reports, and predictive insights that guide strategic, operational, and managerial decisions.
  5. Present analytical findings clearly through data storytelling, written communication, and visual interpretation.
  6. Show ethical conduct, accountability, and responsible use of data in business and societal contexts.

Program Educational Objectives (PEOs)

The graduates of BS Business Analytics will be able to:

  1. Apply analytical and quantitative reasoning to solve business problems and support evidence-based decision-making.
  2. Use modern analytics technologies and tools to analyze data and improve organizational performance across business functions.
  3. Demonstrate integrity, professional ethics, and responsible handling of data in business environments.
  4. Communicate insights clearly and work effectively in diverse teams to deliver analytical solutions.
  5. Adapt to emerging digital tools, AI technologies, and evolving business environments with creativity and innovation.
  6. Engage in continuous professional development and contribute to national and global advancement in the field of business analytics.

Admission Requirements

Higher Secondary School Certificate or Equivalent securing at least 45% marks in aggregate, as per HEC requirement.

Curriculum/Plan of study

Semester Course Code Course Title Credit Hours Co-requisite Pre-requisite
1 MT1190 Basic Mathematics 3
SS1160 Functional English 3
SS1400 Islamic Studies/Ethics 2
MG1100 Principles of Management
CS1260 Application of Information and Communication Technology 2 CS1261
CS1261 Application of Information and Communication Technology Lab 1
EC1020 Business Economics 3

Semester Course Code Course Title Credit Hours Co-requisite Pre-requisite
2 MT1530 Basic Statistics 3 MT1190
SS1180 Expository Writing 3 SS1160
SS1420 Pakistan Studies 2
CS1310 No Code Programing for Business 3
FN1120 Financial Accounting 3
NS1250 Introduction to Environmental Sciences 2 NS1251
NS1251 Introduction to Environmental Sciences Lab 1

 

Semester Course Code Course Title Credit Hours Co-requisite Pre-requisite
3 Applied Probability for Analytics 3
SS2440 Professional Practices 2  SS1160
PH3240 Positive Psychology 2
SS2120 Oral Communication 3 SS1180
MG3300 Human Resource Management 3 MG1100
MG3400 Supply Chain Management 3 MG1100

 

Semester Course Code Course Title Credit Hours Co-requisite Pre-requisite
4 SS3420 Ethics and Social Responsibilities 2
MG2700 Entrepreneurship 2
Data Ethics and Governance 2
CS2230 Database Management System 3
CS2320 AI Programming with Python 3 CS1310
MG3280 Marketing Management Analytics 3 MG1100

Semester Course Code Course Title Credit Hours Co-requisite Pre-requisite
5 FN3210 Islamic Banking and Finance 3  FN1120
Machine Learning for Business Applications 3 MT1530
MG4100 Business Research Methods 3 MT1530
Data Structures and Business Applications 3
Econometrics 3
Data Science 3

Semester Course Code Course Title Credit Hours Co-requisite Pre-requisite
6 MG4160 Quantitative Research Tools 3 MG4100 & MT1530
Agile Project Management with Scrum 3
CS3730 Big Data and Cloud Computing 3
MG4340 Organizational Behavior 3 MG3300
MGXXXX Elective-I 3
MGXXXX Elective-II 3

 

Semester Course Code Course Title Credit Hours Co-requisite Pre-requisite
7 Innovation and Design Thinking 3
CS4630 Business Process Re-engineering 3 CS2510
MG4170 Structured Industrial Practicum 3 MG4100
MG4140 Capstone-I 3 MG4160
MGXXXX Elective-III 3

Semester Course Code Course Title Credit Hours Co-requisite Pre-requisite
8 MG4220 Business Intelligence and Data Driven Decision 3 MG3510
Predictive and Prescriptive Analysis 3 FN3650
Business Data and Text Mining 2
MG4150 Capstone-II 3
MGXXXX Elective-IV 3
Total no of Courses 48 132

Degree Requirements

Core Courses: 39 Courses (111 Cr. Hrs)
Elective Courses: 5 Courses (15 Cr. Hrs.)
Capstone I & Capstone II (6 Cr. Hrs.)

National and International Market Demand

Pakistan’s economy is rapidly digitalizing; sectors like banking, telecom, logistics, and e-commerce are investing in analytics-based decision-making.

The Pakistan Software Export Board (PSEB), P@SHA, and HEC all list Data Analytics and Business Intelligence among the top five in-demand skill areas for graduates.

Local employers, including Telenor, Jazz, Bank Alfalah, HBL, Systems Limited, and Unilever, actively seek professionals trained in analytics, visualization, and predictive modeling.

The World Economic Forum (Future of Jobs Report 2025) ranks Data Analysts and Business Intelligence Specialists among the top five emerging professions globally.

The global business analytics market is projected to exceed USD 650 billion by 2030 (Statista, 2024).

International organizations in the Gulf region, North America, and Europe are increasingly recruiting business analysts, data consultants, and analytics managers who possess both quantitative and managerial insight.

In summary: the demand for business analytics graduates is rising exponentially, both locally and globally and there remains a significant supply gap, especially in Pakistan.

Comparative Program Differentiation Analysis of Undergraduate Offerings at FoBA

 

Dimension BS Business Analytics BS Business Computing BBA (Bachelor of Business Administration)
Primary Focus Data-driven decision-making, analytics, AI, and visualization for business strategy Integration of computing and business processes, system development, and IT management Broad business management education across all functional areas
Nature of Program Hybrid (Business + Statistics + Data Science) Hybrid (Business + Computing + Software Development) Traditional Business and Management Program
Core Objective To train students to interpret data and support business strategy using analytics tools To prepare students to design, manage, and implement business-oriented IT systems To produce versatile managers and entrepreneurs with a general understanding of all business functions
Skill Emphasis Data analytics, machine learning, predictive modeling, visualization, AI applications Software development, database systems, business process modeling, IT project management Leadership, marketing, finance, HR, operations, and strategic management
Tools & Technologies Python, R, Power BI, Tableau, SAP Analytics Cloud, SQL Java, Python, MySQL, ERP Systems, Cloud Computing, Cybersecurity Tools Excel, SPSS, QuickBooks, CRM, HRIS
Specialization Streams Marketing Analytics, Financial Analytics, HR Analytics, Supply Chain Analytics Business Intelligence, Cyber Security, FinTech Systems, AI for Business Marketing, Finance, HR, Supply Chain, Entrepreneurship
Industry Orientation Business Intelligence, Data Analytics, Consulting, Research, FinTech, Supply Chain Software Firms, ERP Implementation, IT Consulting, Tech Startups Banking, FMCG, Consulting, HR, Marketing, Corporate Sector
Outcome/Graduate Profile Data Analyst, Business Intelligence Specialist, Financial Data Scientist Business Systems Analyst, Software Project Manager, IT Consultant Business Manager, Marketing Executive, HR Professional, Entrepreneur
Certifications Embedded Power BI, Tableau, Google Analytics, SAP Analytics Cloud, Python Data Analytics AWS Cloud, SAP S/4HANA, Microsoft Azure, Cybersecurity, SQL Server PMP (Project Management), Digital Marketing, Financial Modeling
Mathematical Intensity High – Statistics, Probability, Econometrics, Data Modeling Moderate – Logical and Algorithmic Thinking Low – Conceptual, Strategy and Management Focus
Technological Depth Moderate to High (analytics tools and automation High (programming, networking, database systems) Low (software as a user only)
Ideal Students Those interested in numbers, logic, and business insights Those interested in IT, systems, and business problem-solving Those interested in management, leadership, and strategic decision-making
Program Output Alignment (FoBA Vision) “Data-Driven Decision Makers and Analysts” “Tech-Savvy Business Solution Designers” “Strategic Managers and Business Leaders”

Conclusion

The BS in Business Analytics is a forward-looking program that combines business management, data analytics, and technology to meet the evolving demands of the digital economy. It equips students with the ability to analyze, visualize, and act upon data to make informed business decisions. With its strong industry integration, global relevance, and alignment with MAJU’s strategic goals, the program will distinguish FoBA as a pioneer in data-driven business education in Pakistan.