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BS (Business Analytics) |
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Course Number |
Course Title |
Credit Hours |
|
Semester – 1 |
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| 1 | Functional English | 3 |
| 2 | Principle of Management | 3 |
| 3 | IT in Business | 2+1 |
| 4 | Islamic Studies/Ethics | 3 |
| 5 | Basic Mathematics & Calculus | 3 |
| Semester Credit Hours | 15 | |
|
Semester – 2 |
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| 6 | Fundamentals of Accounting | 3 |
| 7 | Micro-Economics | 3 |
| 8 | Principles of Marketing | 3 |
| 9 | Communication & Presentation Skills | 3 |
| 10 | Pakistan Studies | 3 |
| Semester Credit Hours | 15 | |
|
Semester – 3 |
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| 11 | Business Statistics | 3 |
| 12 | Macro Economics | 3 |
| 13 | Business Communication | 3 |
| 14 | Marketing Management | 3 |
| 15 | Sociology | 3 |
| 16 | Programming Fundamentals | 2+1 |
| Semester Credit Hours | 18 | |
|
Semester – 4 |
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| 17 | Business Finance | 3 |
| 18 | Data Structures & Business Applications | 2+1 |
| 19 | Economy of Pakistan | 3 |
| 20 | Consumer Behaviour | 3 |
| 21 | Statistical Inference | 3 |
| 22 | Cost & Managerial Accounting | 3 |
| Semester Credit Hours | 18 | |
|
Semester – 5 |
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| 23 | Financial Institutions & Markets | 3 |
| 24 | Quantitative Skills | 3 |
| 25 | Organisational Behaviour | 3 |
| 26 | Digital Business | 3 |
| 27 | Fundamentals of Business Intelligence & Analytics | 2+1 |
| 28 | Logic and Critical Thinking | 3 |
| Semester Credit Hours | 18 | |
|
Semester – 6 |
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| 29 | Legal and ethical Issues in Business Analytics | 3 |
| 30 | Business Research Methods | 3 |
| 31 | Human Resource Management | 3 |
| 32 | Financial Management | 3 |
| 33 | Database Systems | 2+1 |
| 34 | Entrepreneurship | 3 |
| Semester Credit Hours | 18 | |
|
Semester – 7 |
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| 35 | Leadership | 3 |
| 36 | University Elective | 3 |
| 37 | Machine Learning for Business Analytics | 2+1 |
| 38 | Business Data & Text Mining | 2+1 |
| 39 | Final Year Project – I | 0+3 |
| Semester Credit Hours | 15 | |
| Semester – 8 | ||
| 40 | Project Management | 3 |
| 41 | University Elective | 3 |
| 42 | Decision Science for Business | 2+1 |
| 43 | Predictive Analytics | 2+1 |
| 44 | Final Year Project – II | 0+3 |
| Semester Credit Hours | 15 | |
| Total Credit Hours | 132 | |
BS Business Analytics
The BS (Business Analytics) programme is planned for individuals who want to develop analytical skills by mixing business theory, data analytics skills, practical knowledge, and professional skills in preparation for careers as business leaders. The BS Business Analytics is a dynamic degree programme aimed to provide strong analytical and critical thinking abilities to students who wish to explore the power of data analysis to facilitate decision-making processes in organisations and solve business problems. The programme prepares the next generation of managers with the expertise to manage and analyse data to solve organisations’ pressing challenges in management, HRM, finance, operations, and marketing.
- Inter (Comm, Computer, Pre Engg, Pre Med) , A-level – Any 3 courses
- DAE any or Diploma any – Inter Equal.
Graduates can pursue careers in data-driven roles across industries, such as:
- Business Analyst – Interpret data to guide business strategies.
- Data Scientist – Use statistical methods and machine learning to uncover insights.
- Marketing Analyst – Analyse consumer trends to optimise marketing strategies.
- Financial Analyst – Evaluate financial data for risk assessment and investment decisions.
- Operations Analyst – Improve business efficiency through data-driven solutions.
- Project Manager (Analytics) – Lead teams in implementing data-driven projects.
- Risk Analyst – Assess potential risks using predictive analytics.
- Supply Chain Analyst – Optimise logistics and inventory through data insights.
These careers are in high demand across finance, healthcare, e-commerce, and technology sectors.Â
Graduates of the BS (Business Analytics) programme will:
- Develop Analytical and Critical Thinking Skills – Apply data analytics, statistical modelling, and business intelligence to solve complex business problems.
- Leverage Data for Decision-Making – Use data visualisation, predictive analytics, and machine learning to support strategic business decisions.
- Integrate Business and Technology – Combine business knowledge with data-driven insights to enhance efficiency across industries.
- Enhance Communication and Leadership – Effectively present analytical findings and lead data-driven initiatives.
- Make Ethical and Strategic Business Decisions – Employ ethical reasoning and problem-solving techniques in data management and business operations.
North Campus (Morning)
| 1st Semester (BS Business Analytics) | ||||
| Description | Frequency | Fee/Cr. Hr | # of Cr. Hr | Total Fee |
| Admission Fee | One-Time | 10,000 | 10,000 | |
| Security Deposit (Refundable) | One-Time | Nil | Nil | |
| Tuition Fee | Per Semester / Per Credit Hour | 3,000 | 15 | 45,000 |
| Examination Fee | Per Semester / Per Credit Hour | 250 | 15 | 3,750 |
| Student Activiity Fee | Per Semester | 2000 | 2,000 | |
| Registration Fee | Per Semester | 5000 | 5000 | |
| Total Fees | 65,750 | |||
