Ziauddin University

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 organizations and solve business problems. The programme prepares the next generation of managers with the expertise to manage and analyse data to solve organizations’ 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.

BS (Business Analytics)

Course Number

Course Title 

Credit Hours

Semester – 1

1Functional English3
2Principle of Management3
3IT in Business2+1
4Islamic Studies/Ethics3
5Basic Mathematics & Calculus3
  Semester Credit Hours15

Semester – 2

6Fundamentals of Accounting3
7Micro-Economics3
8Principles of Marketing3
9Communication & Presentation Skills3
10Pakistan Studies3
  Semester Credit Hours15

Semester – 3

11Business Statistics3
12Macro Economics3
13Business Communication3
14Marketing Management3
15Sociology3
16Programming Fundamentals2+1
  Semester Credit Hours18

Semester – 4

17Business Finance3
18Data Structures & Business Applications2+1
19Economy of Pakistan3
20Consumer Behavior3
21Statistical Inference3
22Cost & Managerial Accounting3
  Semester Credit Hours18

Semester – 5

23Financial Institutions & Markets3
24Quantitative Skills3
25Organizational Behavior3
26Digital Business3
27Fundamentals of Business Intelligence & Analytics2+1
28Logic and Critical Thinking3
  Semester Credit Hours18

Semester – 6

29Legal and ethical Issues in Business Analytics3
30Business Research Methods3
31Human Resource Management3
32Financial Management3
33Database Systems2+1
34Entrepreneurship3
  Semester Credit Hours18

Semester – 7

35Leadership3
36University Elective3
37Machine Learning for Business Analytics2+1
38Business Data and Text Mining2+1
39Final Year Project – I0+3
  Semester Credit Hours15
Semester – 8
40Project Management3
41University Elective3
42Decision Science for Business2+1
43Predictive Analytics2+1
44Final Year Project – II0+3
  Semester Credit Hours15
  Total Credit Hours132
 

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 – Analyze consumer trends to optimize 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 – Optimize logistics and inventory through data insights.
These careers are in high demand across finance, healthcare, e-commerce, and technology sectors.

Graduates of the BS (Business Analytics) program will:

Develop Analytical and Critical Thinking Skills – Apply data analytics, statistical modeling, and business intelligence to solve complex business problems.
Leverage Data for Decision-Making – Use data visualization, 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.

Admission Processing Fees2500
Admission Fees12,000
Security Deposit (refundable)5,000
Student Activity Fee (Per Semester)2,000
Semester Reg. Fee
(per semester)
5000
First Semester Credit Hours Fee15 *3000
Examination Fees 1st Semester6,000
Tution /Semester Credit hours Fee45,000
Miscellaneous Charges0
Income Tax @5% 
Total Fee at the time of admission75,000
TUITION FEE58,000
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