The Bachelor of Science in Business Analytics (BSBA) offered by the Faisalabad Business School at National Textile University is a forward-looking undergraduate program designed to prepare students for the emerging data-driven economy. The program combinesfoundational knowledge in management, finance, marketing, economics, and accounting with advanced analytical tools such as programming, machine learning, business intelligence, and predictive analytics.
As Pakistan’s premier institution with deep roots in the textile and manufacturing sectors, National Textile University is uniquely positioned to offer a specialized business analytics degree that addresses the growing demand for data-centric decision-making in the textile and apparel industry. The program incorporates textile-specific knowledge through courses such as Introduction to Textiles, Financial Analytics, Marketing Analytics, and Machine Learning for Business, enabling graduates to apply analytical techniques to areas such as production planning, demand forecasting, supply chain optimization, quality control, and customer intelligence. The BS Business Analytics program reflects the vision of Faisalabad Business School to develop professionals who possess both managerial insight and technological competence. Through a rigorous curriculum, practical internship, and capstone project, students gain the ability to transform raw data into strategic insights that enhance competitiveness and innovation in the textile sector and other industries. The program is particularly aligned with the needs of Pakistan’s export-oriented textile industry, where analytics-driven solutions are increasingly essential for improving operational efficiency, reducing costs, forecasting market trends, and achieving sustainable growth.
Program Mission:
The mission of the BS Business Analytics program is to develop ethically responsible and technologically proficient business professionals who can harness data analytics, artificial intelligence, and business intelligence tools to solve complex managerial problems and drive innovation in Pakistan’s textile and manufacturing sectors. The program aims to equip graduates with the analytical and strategic capabilities needed to optimize operations, improve supply chain performance, forecast market demand, enhance financial decision-making, and support sustainable growth in the textile industry at both national and global levels.
Program Educational Objectives (PEOs):
Within three to five years of graduation, graduates of the BS Business Analytics program are expected to achieve the following Program Educational Outcomes:
|
PLO# |
PLO Title |
PLO Description |
|
PEO-1 |
Professional Excellence in Data-Driven Decision Making |
Graduates will apply business analytics, statistical modeling, and emerging technologies to support strategic and operational decision-making across business functions, particularly in textile, manufacturing, and export-oriented organizations. |
|
PEO-2 |
Leadership and Innovation in the Textile Sector |
Graduates will contribute to improving productivity, competitiveness, and innovation in the textile and apparel industry by leveraging data-driven solutions in areas such as forecasting, quality management, supply chain analytics, and customer insights. |
|
PEO-3 |
Ethical and Responsible Use of Data |
Graduates will demonstrate integrity, ethical responsibility, and adherence to professional standards in the collection, management, and interpretation of business data, considering societal, legal, and sustainability implications. |
|
PEO-4 |
Career Advancement and Lifelong Learning |
Graduates will pursue successful careers, advanced studies, professional certifications, and continuous learning to remain effective in the rapidly evolving fields of business analytics, artificial intelligence, and digital transformation. |
|
PEO-5 |
Effective Communication and Collaborative Leadership |
Graduates will communicate analytical findings clearly and work effectively in multidisciplinary and multicultural teams, assuming leadership roles in organizations operating in dynamic and global business environments. |
Program Learning Objectives:
|
PLO# |
PLO Title |
PLO Description |
|
PLO-1 |
Analytical and Technical Competence |
Graduates will be able to apply statistical, computational, and data analytics techniques (e.g., Python/R, machine learning, data visualization) to analyze complex business data and generate actionable insights. |
|
PLO-2 |
Business Problem-Solving and Decision-Making |
Graduates will demonstrate the ability to integrate business knowledge (finance, marketing, operations) with data-driven approaches to support strategic and operational decision-making. |
|
PLO-3 |
Data Management and Ethical Responsibility |
Graduates will be able to collect, clean, manage, and interpret data responsibly while adhering to ethical standards, business ethics, and societal considerations in data usage. |
|
PLO-4 |
Communication and Professional Skills |
Graduates will effectively communicate analytical findings using visual, written, and oral methods, and work collaboratively in multidisciplinary teams within professional and global business environments. |
1st Semester |
||||
| Code | Course Title | Th | Lab | Total Cr |
|
HU-1091 |
Islamic Studies / Ethics |
2 |
0 |
2 |
|
MGT-1081 |
Principles of Management |
3 |
0 |
3 |
|
CS-1081 |
Application of ICT |
2 |
1 |
3 |
|
ENG-1091 |
Functional English |
3 |
0 |
3 |
|
ECON-1081 |
Microeconomics |
3 |
0 |
3 |
|
ACCT-1081 |
Fundamentals of Accounting |
3 |
0 |
3 |
|
FQ-1001 |
Understanding of Holy Quran-I/Fehm-e-Quran-I |
0 |
1 |
1 |
|
Total Cr. Hrs. |
16 |
2 |
18 |
|
2nd Semester |
||||
|
QR-1081 |
Quantitative Reasoning-I |
3 |
0 |
3 |
|
SC-1081 |
Science of Global Challenges |
3 |
0 |
3 |
|
HU-1082 |
Ideology and Constitution of Pakistan |
2 |
0 |
3 |
|
MKT-1081 |
Principles of Marketing |
3 |
0 |
1 |
|
ENG-1098 |
Expository Writing |
3 |
0 |
3 |
|
TE-1113 |
Introduction to Textiles |
3 |
0 |
3 |
|
FQ-1002 |
Understanding of Holy Quran-II/Fehm-e-Quran-II |
0 |
1 |
1 |
|
Total Cr. Hrs. |
17 |
1 |
18 |
|
3rd Semester |
||||
|
QR-1082 |
Quantitative Reasoning-II |
3 |
0 |
3 |
|
HU-3096 |
Foreign Language |
2 |
0 |
2 |
|
BAN-2084 |
AI in Business |
3 |
0 |
3 |
|
MKT-2082 |
Marketing Management |
3 |
0 |
3 |
|
ACCT-2082 |
Financial Accounting |
3 |
0 |
3 |
|
SS-1093 |
Introduction to Psychology |
3 |
0 |
3 |
|
Total Cr. Hrs. |
17 |
0 |
17 |
|
4th Semester |
||||
|
ECON-2082 |
Macroeconomics |
3 |
0 |
3 |
|
MGT-4085 |
Entrepreneurship |
2 |
0 |
2 |
|
MKT-2083 |
Consumer Behavior |
3 |
0 |
3 |
|
STAT-2002 |
Statistical Inferences |
3 |
0 |
3 |
|
FIN-2081 |
Business Finance |
3 |
0 |
3 |
|
CIV-1001 |
Civics and Community Engagement |
2 |
0 |
2 |
|
PAK-1001 |
Pakistan Studies |
2 |
0 |
2 |
|
Total Cr. Hrs. |
18 |
0 |
18 |
|
5th Semester |
||||
|
CS-3080 |
Programming for Business Analytics |
2 |
1 |
3 |
|
STAT-3001 |
Introduction to Fintech & Digital Finance |
2 |
1 |
3 |
|
BAN-3074 |
Business Analytics with Excel |
2 |
1 |
2 |
|
MGT-3082 |
Organizational Behavior |
3 |
0 |
2 |
|
MKT-3090 |
Digital Marketing |
3 |
0 |
3 |
|
Total Cr. Hrs. |
12 |
3 |
15 |
|
6th Semester |
||||
|
FIN-3082 |
Financial Management |
3 |
0 |
3 |
|
BAN-3001 |
Data Mining |
2 |
1 |
3 |
|
HRM-3081 |
Human Resource Management |
3 |
0 |
3 |
|
BUS-2085 |
Research Methodologies |
3 |
0 |
3 |
|
BAN-3002 |
Business Intelligence and Dashboard |
2 |
1 |
3 |
|
Total Cr. Hrs. |
13 |
2 |
15 |
|
7th Semester |
||||
|
BUS-4087 |
Business Ethics |
3 |
0 |
3 |
|
BAN-4001 |
Predictive Analytics & Forecasting |
3 |
0 |
3 |
|
MGT-4084 |
Operations Management |
3 |
0 |
3 |
|
BAN-4011 |
Big Data Strategy |
3 |
0 |
3 |
|
BAN-4012 |
Data-Driven Strategy & Decision Modeling |
2 |
1 |
3 |
|
|
Internship |
0 |
3 |
3 |
|
Total Cr. Hrs |
14 |
4 |
18 |
|
8th Semester |
||||
|
BAN-4005 |
Marketing Analytics |
2 |
1 |
3 |
|
MGT-4086 |
Financial Analytics |
2 |
1 |
3 |
|
BAN-4013 |
HR Analytics |
2 |
1 |
3 |
|
BAN-4014 |
Machine Learning for Business |
3 |
0 |
3 |
|
BUS-4088 |
Capstone Projects |
0 |
3 |
3 |
|
Total Cr. Hrs. |
9 |
6 |
15 |
|
|
Grand Total |
116 |
18 |
134 |
|
At least 50% marks in the following:
Merit Criteria:
Marks of Intermediate - Part 1 (100% weightage)
Note: Applications are entertained on Intermediate Part-I basis and merit would be finalized accordingly. However, the admitted students must meet the basic eligibility criteria of the relevant degree program on the announcement of Intermediate Part-II result failing which admission will be automatically cancelled.
Test: No Test Required
Seats:
| Fee Heads | 1st Semester Fee (Rs) |
|---|---|
| Admission Fee (Once at admission) | 25,000 |
| Certificate Verification Fee (Once at admission) | 2,000 |
| Red Crescent Donation (Once at admission) | 50 |
| University Card Fee (Once at admission) | 300 |
| University Security (Refundable) | 5,000 |
| Tuition Fee (First Semester) | 87,670 |
| Library Fee (Per Semester) | 3,000 |
| Examination Fee (Per Semester) | 3,000 |
| Medical Fee (Per Semester) | 2,000 |
| Student Activity Fund (Per Semester) | 2,000 |
| Endowment Fund (Per Semester) | 1,000 |
| TOTAL | 131,020 |
| Degree Fee (Once in the Last Semester) | 5,000 |
| Fee Heads | 1st Semester Fee (Rs) |
|---|---|
| Regular Fee of 1st Semester | 131,020 |
| Self Finance Fee Installments (Per Semester) | 37,500 |
| TOTAL | 168,520 |
| Particulars | Rupees |
|---|---|
| Hostel Charges (Per Semester) | 25,000 |
| Hostel Security (Refundable) | 5,000 |
| TOTAL | 30,000 |
| Note: Limited seats are available only for boys. |
|
| Particulars | Rupees |
|---|---|
| Transport Charges (Per Semester) | 12,000 |
| Note: Transport charges are only for those students who will avail transport facility. |
|
Application for a refund of Fee can be made by completing the appropriate form and submitting the proof of payment.
Tuition Fee:
The Refund of Tuition Fee is Subject to the following schedule:
| Timeline | Percentage of Fee |
|---|---|
| Upto 10th day of commencement of classes | 100% fee refund |
| Upto 15th day of commencement of classes | 80% fee refund |
| Upto 20th day of commencement of classes | 60% fee refund |
| Upto 30th day of commencement of classes | 50% fee refund |
| 31st day onwards of commencement of classes | No Refund |
Note: The timelines for refund of tuition fee are inclusive of the weekends.
Library Fee:
The library/digital library fee is completely refundable.
Transport Fee:
The transport fee is 100% refundable minus (-) the days a student has availed of that facility(es).
Security/Deposit Fee:
This fee is refundable after deductions are made for the damage/loss (if any) caused by the student.
Examination Fee:
The fee submitted as an examination fee is completely refundable.
Fee for Curricular/Co-Curricular Activities:
The Curricular/co-curricular, extra-curricular, fee is 100% refundable minus (-) the days a student has availed of that activity(es).
Admission Fee and Registration/Application Fee are non-refundable.
Certificate Verification Fee, Card Fee, Red Crescent Fund, Medical Examination Fee, Exhibition Fee and Endowment Fund are also non-refundable.
GIZ