Bachelor of Science in Business Data Analytics
The Bachelor of Science in Business Data Analytics prepares the students with the requisite knowledge and skills required to manage the organizational processes and lead them to compete effectively in the era of fifth industrial revolution.
The program offers a comprehensive curriculum that blends modern business models with the technical expertise needed to manage big data. Students will learn to:
- Generate, collect, and clean massive datasets
- Integrate data from diverse sources
- Analyze data using sophisticated tools and techniques
- Translate insights into actionable business decisions
This program covers a broad range of disciplines, including:
- Business Fundamentals
- Business Analytics
- Data Science
By the time of graduation, the students will be well-positioned for a rewarding career in various industries, solving critical problems and driving innovation through the power of big data.
Eligibility Criteria
- Academic Background: Applicants must possess one of the following academic qualifications from an accredited institution with a minimum of 50% marks:
- Intermediate or equivalent
- A-Levels (with or without Mathematics)
- An equivalent qualification certified by the Inter-Boards Coordination Committee (IBCC)
- Testing:
- All applicants must achieve a satisfactory score of the National Testing Service (NTS) Entry Test or any other testing body approved by CUI, as per CUI admission policies
Scheme of Study
The Semester wise course plan is provided as follows:
|
Sr. No.
|
Course Code
|
Course Title
|
Credit Hours
|
Category of Course
|
Pre-requisite
|
|
Semester 1
|
|
|
1
|
MGT173
|
Programming Language for Business Analytics
|
3(2,1)
|
Major Discipline
|
|
|
2
|
MGT132
|
Principles of Accounting
|
3(3,0)
|
Major Discipline
|
|
|
3
|
MGT101
|
Introduction to Management
|
3(3,0)
|
Major Discipline
|
|
|
4
|
MGT172
|
Mathematics for Business Analytics
|
3(3,0)
|
Geneneral Education
|
|
|
5
|
MGT171
|
Computing Technologies for Business
|
3(2,1)
|
Geneneral Education
|
|
|
6
|
HUM112
|
Islamic Studies
|
2(2,0)
|
Geneneral Education
|
|
|
Total
|
|
17
|
|
|
|
Semester 2
|
|
|
1
|
MGT176
|
Fundamentals of Business Analytics
|
3(2,1)
|
Major Discipline
|
|
|
2
|
MGT240
|
Statistics for Business Analytics
|
3(3,0)
|
Major Discipline
|
|
|
3
|
ACC201
|
Cost and Management Accounting
|
3(3,0)
|
Major Discipline
|
MGT132
|
|
4
|
MGT272
|
Advanced Mathematics for Business Analytics
|
3(3,0)
|
Geneneral Education
|
MGT172
|
|
5
|
HUM100
|
Functional English
|
3(3,0)
|
Geneneral Education
|
|
|
6
|
HUM113
|
Ideology and Constitution of Pakistan
|
2(2,0)
|
Geneneral Education
|
|
|
Total
|
|
17
|
|
|
|
Semester 3
|
|
|
1
|
MGT174
|
Business Data Analysis
|
3(2,1)
|
Major Discipline
|
MGTl73
|
|
2
|
MGT311
|
Marketing Management in Digital Era
|
3(3,0)
|
Major Discipline
|
|
|
3
|
MGT232
|
Business Finance
|
3(3,0)
|
Major Discipline
|
|
|
4
|
PHY124
|
Applied Physics
|
3(2,1)
|
Geneneral Education
|
|
|
5
|
CSC210
|
Professional Practices
|
2(2,0)
|
Geneneral Education
|
|
|
6
|
HUM120
|
Expository Writing
|
3(3,0)
|
Geneneral Education
|
|
|
Total
|
|
17
|
|
|
|
Semester 4
|
|
|
1
|
MGT244
|
Business Applications Using Machine Learning
|
3(2,1)
|
Major Discipline
|
MGTl73
|
|
2
|
MGT385
|
Data & Dashboards
|
3(2,1)
|
Major Discipline
|
MGT173
|
|
3
|
MGT350
|
Human Resource Management
|
3(3,0)
|
Major Discipline
|
|
|
4
|
CSC211
|
Data Structures
|
3(2,1)
|
Allied / Interdisciplinary
|
|
|
5
|
MGT250
|
Introduction to Entrepreneurship
|
2(2,0)
|
Geneneral Education
|
|
|
6
|
HUM208
|
Civic and Community Engagement
|
2(2,0)
|
Geneneral Education
|
|
|
7
|
HUM122
|
Fundamentals of Psychology
|
2(2,0)
|
Geneneral Education
|
|
|
Total
|
|
18
|
|
|
|
Semester 5
|
|
|
1
|
MGT389
|
NLP for Business
|
3(3,0)
|
Major Discipline
|
MGT173
|
|
2
|
MGT330
|
Financial Management
|
3(3,0)
|
Major Discipline
|
MGT232
|
|
3
|
MGT301
|
Research Tools and Techniques
|
3(3,0)
|
Major Discipline
|
|
|
4
|
MGT387
|
Databases for Business
|
3(2,1)
|
Major Discipline
|
MGT171
|
|
5
|
DSC293
|
Data Science Fundamentals
|
3(2,1)
|
Allied / Interdisciplinary
|
|
|
6
|
|
Internship
|
3(3,0)
|
|
|
|
Total
|
|
18
|
|
|
|
Semester 6
|
|
|
1
|
MGT388
|
Deep Learning for Business
|
3(2,1)
|
Major Discipline
|
MGT173
|
|
2
|
MGT461
|
Project Management
|
3(3,0)
|
Major Discipline
|
|
|
3
|
CSC262
|
Artificial Intelligence
|
3(2,1)
|
Allied / Interdisciplinary
|
|
|
4
|
|
Major Specialization I
|
3(3,0)
|
Major Specialization
|
|
|
5
|
|
Major Specialization II
|
3(3,0)
|
Major Specialization
|
|
|
6
|
|
Major Specialization III
|
3(3,0)
|
Major Specialization
|
|
|
Total
|
|
18
|
|
|
|
Semester 7
|
|
|
1
|
MGT488
|
Advanced Deep Learning for Business
|
3(2,1)
|
Major Discipline
|
MGT388
|
|
2
|
MGT470
|
Strategic Management
|
3(3,0)
|
Major Discipline
|
|
|
3
|
DSC306
|
Data Mining
|
3(2,1)
|
Allied / Interdisciplinary
|
|
|
4
|
|
Major Specialization III
|
3(3,0)
|
Major Specialization
|
|
|
5
|
|
Major Specialization IV
|
3(3,0)
|
Major Specialization
|
|
|
Total
|
|
15
|
|
|
|
Semester 8
|
|
|
1
|
|
Major Specialization V
|
3(3,0)
|
Major Specialization
|
|
|
2
|
|
Major Specialization VI
|
3(3,0)
|
Major Specialization
|
|
|
3
|
|
Major Specialization VII
|
3(3,0)
|
Major Specialization
|
|
|
4
|
|
Major Specialization VIII
|
3(3,0)
|
Major Specialization
|
|
|
5
|
|
Final Year Project
|
6(6,0)
|
Major Specialization
|
|
|
Total
|
|
18
|
|
|
Major Specializations
- Financial Technology
- Marketing Analytics
- Human Resource Analytics
In addition to a major specialization, students can choose a minor specialization from diverse disciplines such as:
- Data Science
- Machine Learning
- Artificial Intelligence
- Computer Science
- Software Engineering
- Computer Engineering
and many more minor options, the detail can be found by clicking here...