BS Data Science & Business Analytics
Program Overview
The BS in Data Science & Business Analytics at NIT is designed for students who want to turn data into decisions and insight into impact. Developed using Arizona State University’s (ASU) curriculum, the program prepares graduates to work at the intersection of technology, analytics, and business strategy in data-driven organizations.
Built on a strong foundation in programming, data structures, mathematics, statistics, and computational thinking, the curriculum emphasizes analytical rigor, problem framing, and evidence-based decision-making. Students learn how data is collected, processed, modeled, and translated into actionable business intelligence.
The program integrates advanced domains such as machine learning, big data, business intelligence, artificial intelligence, and enterprise analytics, ensuring graduates are prepared for rapidly evolving analytical roles. A strong focus on ethics, sustainability, behavioral dynamics, and innovation develops responsible professionals who can lead data-driven transformation.
Students gain hands-on experience through labs, professional internships, and a final-year capstone project focused on real organizational challenges. Applied coursework in data visualization, statistical modeling, and analytics platforms ensures graduates are both technically capable and business-ready.
Graduates of the BS in Data Science & Business Analytics are equipped for high-impact roles across finance, marketing, supply chain, technology, and consulting, as well as for postgraduate study or entrepreneurial ventures in analytics-led fields.
Dual Degree Pathway (3+1 Program)​
The BS in Data Science & Business Analytics offers a 3+1 Dual Degree Pathway in partnership with Arizona State University (ASU) through The College of Liberal Arts and Sciences. Students may complete all four years at NIT or choose the 3+1 option studying three years at NIT and the final year at Arizona State University, either online or on-campus.
Upon successful completion, students earn two internationally recognized degrees:
- A Bachelor’s in Data Science & Business Analytics from the National Institute of Technology (NIT), and
- A B.S. in Data Science from Arizona State University (ASU)
This dual-degree structure provides strong academic depth, international exposure, and global recognition, positioning graduates for careers at the intersection of data, technology, and strategic decision-making. Final-year progression and dual-degree eligibility are subject to successful credit transfer and Arizona State University approval.
Career Pathways:
Graduates of the BS in Data Science and Business Analytics (3+1) are prepared for high-impact roles where data, technology, and business strategy intersect. The program equips students to work across technical, analytical, and decision-making functions in diverse industries.
- Data ScientistÂ
- Machine Learning EngineerÂ
- Business Intelligence AnalystÂ
- Data AnalystÂ
- AI SpecialistÂ
- Big Data EngineerÂ
- Business Analytics ManagerÂ
- Enterprise Data ArchitectÂ
- Financial Data AnalystÂ
- Marketing Data AnalystÂ
- Supply Chain Data AnalystÂ
- IT Business AnalystÂ
- Innovation ConsultantÂ
- Technology Strategist
NIT Admission Criteria:
The National Institute of Technology (NIT) seeks to admit academically prepared, motivated, and intellectually curious students who demonstrate the potential to contribute positively to the university’s learning environment and to society. Meeting the minimum eligibility requirements qualifies an applicant for admission evaluation but does not guarantee admission. Applicants may apply if they meet any one of the minimum criteria outlined below:
- Matriculation/Intermediate Requirements:
- 12 years of formal education with a minimum of 60% marks (no specific subject requirements).  Â
- Cambridge International (O & A Levels):
- O Level: Eight subjects (English, Mathematics, Urdu, Islamiat, Pakistan Studies + 3 electives), with an average of grade C. (Additional Mathematics does not count as an elective)
- A Level: Three principal subjects with an average of grade C. (Further Mathematics and General Paper are excluded.)
- International Baccalaureate (IB):
- Minimum 30/45 points.  Â
- English is compulsory; CAS and TOK must be completed.  Â
- Students must also pass Urdu, Islamiat and Pakistan Studies (via O-Level/SSC/IB).
- High School Diploma (HSD):
- Minimum 60% overall.  Â
- English is required, along with four principal electives in grades 9–12. Â
- Students must also pass Urdu, Islamiat and Pakistan Studies (via O-Level/SSC/HSD)Â
ASU Admission Criteria:
Minimum transfer Grade Point Average (GPA): Transfer students must have a minimum 2.5 cumulative transfer GPA (with a 3.00 GPA in core competency coursework (4.00 = “A”).Â
Proof of English proficiency: 79 iBT TOEFL; 6.5 IELTS; PTE 58; Duolingo 105 or equivalent; Global Launch’s online English for Undergraduate Admission or full-time English Language Program (campus or online immersion).
Fee Structure For The Academic Year 2025-26 (PKR)
One-time Admission Fee: 145,000
One-time Security Fee: 50,000
Semester Registration Fee: 40,000 per semester
Tuition Fee:
Fall semester: 547,500
Spring semester: 657,000
Total tuition fee for the Academic year 2025-26: 1,479,500
Program Plan
Year One
| Spring Semester 1 | Credits |
|---|---|
CSE 110: Principles of Programming | 4 Credits |
MAT 265 / MAT 170: Calculus for Engineers I OR Precalculus | 3 Credits |
SSC 101: Islamic Studies | 2 Credits |
SSC 102: Pakistan Studies | 2 Credits |
CIS 105: Computer Application and Information Technology | 3 Credits |
WPC 150: Business and Society | 3 Credits |
| Total Credits | 17 Credits |
| Summer Semester 2 (Summer Session IV) | Credits |
|---|---|
CSE 205: Object-Oriented Programming and Data Structures | 4 Credits |
MAT 266 / MAT 265: Calculus for Engineers II OR Calculus for Engineers I | 3 Credits |
PHY 121: University Physics I: Mechanics | 3 Credits |
PHY 122: University Physics I Lab | 1 Credits |
ACC 231: Uses of Accounting Information I | 3 Credits |
SSC 100: Fundamentals of Academic Writing | 3 Credits |
| Total Credits | 17 Credits |
Year Two
| Spring Semester 1 | Credits |
|---|---|
COM 225: Public Speaking and Presentations | 3 Credits |
QUR 101: Understanding of Quran 1 | 1 Credits |
DAT 250: Data Science and Society | 3 Credits |
ACC 241: Uses of Accounting Information II | 3 Credits |
MAT 343: Applied Linear Algebra | 3 Credits |
CIS 235: Introduction to Information Systems, Analytics and AI in Business | 4 Credits |
| Total Credits | 17 Credits |
| Summer Semester 2 (Summer Session IV) | Credits |
|---|---|
FIS 201: Innovation in Society (HUAD) | 4 Credits |
CEE 181: Technological, Social, and Sustainable Systems | 3 Credits |
PHI 105: Introduction to Ethics (HUAD) | 3 Credits |
CIS 315: Introduction to Business Data Analytics | 1 Credits |
DAT 301: Exploring data in R and Python | 3 Credits |
| Total Credits | 17 Credits |
Summer 2027 Internship
| Summer 2027 | Credits |
|---|---|
DAT 484: Internship | 3 Credits |
Year Three
| Spring Semester 1 | Credits |
|---|---|
MGT 300: Principles of Management and Leadership / Elective 1 | 3 Credits |
SOC 334: SOC 334: Technology and Society (SOBE) | 3 Credits |
DAT 300: Mathematical Tools for Data Science | 3 Credits |
WPC 300: Problem Solving and Actionable Analytics | 4 Credits |
CIS 407: Business Database Systems Development | 4 Credits |
| Total Credits | 17 Credits |
| Summer Semester 2 (Summer Session IV) | Credits |
|---|---|
FIN 300: Fundamentals of Finance / Elective 2 | 3 Credits |
ECN 306: Survey of International Economics (GCSI) | 3 Credits |
CIS 425: Enterprise Web Technologies / Elective 4 | 4 Credits |
MKT 300: Marketing and Business Performance / Elective 3 | 3 Credits |
MKT 390: Essentials of Marketing | 3 Credits |
| Total Credits | 16 Credits |
Year Four
| Spring Semester 1 | Credits |
|---|---|
DAT 490: Computing Capstone Project I | 3 Credits |
CIS 310: Business Data Visualization | 4 Credits |
CIS 412: Business Data Mining/Business Machine Learning | 4 Credits |
DAT 402: Machine Learning for Data Science | 4 Credits |
Understanding of Quran 2 | 1 Credits |
Civics and Community Engagement | 2 Credits |
| Total Credits | 18 Credits |
| Summer Semester 2 (Summer Session IV) | Credits |
|---|---|
DAT 491: Computing Capstone Project II | 3 Credits |
FSE 501: Technology Entrepreneurship/Entrepreneurship | 3 Credits |
CIS 415: Big Data Analytics in Business / Elective 6 | 4 Credits |
Ideology and Constitution of Pakistan | 2 Credits |
CIS 409: Business Data Warehouses and Dimensional Modeling | 4 Credits |
| Total Credits | 16 Credits |
Electives
| Electives | Credits |
|---|---|
MGT 300: Principles of Management and Leadership / Elective 1 | 3 Credits |
FIN 300: Fundamentals of Finance / Elective 2 | 3 Credits |
MKT 300: Marketing and Business Performance / Elective 3 | 3 Credits |
CIS 425: Enterprise Web Technologies / Elective 4 | 4 Credits |
CIS 415: Big Data Analytics in Business / Elective 6 | 4 Credits |
CIS 450: Enterprise Analytics / Elective 7 | 4 Credits |
Advanced Database Management Systems | 3 Credits |
Big Data Analytics | 3 Credits |
Machine Learning | 3 Credits |
Artificial Neural Networks & Deep Learning | 3 Credits |
Business Process Analysis | 3 Credits |
Theory of Automata | 3 Credits |
HCI & Computer Graphics | 3 Credits |
Platforms & Architectures for Data Science | 3 Credits |
Topics in Data Science | 3 Credits |
Speech Processing | 3 Credits |
| Electives for this program should include bridge courses for MS Business Analytics ASU: | |
|---|---|
CIS 505: Enterprise Data Analytics | 3 Credits |
CIS 507: Programming for AI and Data Analytics in Business | 3 Credits |
SCM 516: Descriptive and Predictive Analytics | 3 Credits |
SCM 517: Business Process Analytics | 3 Credits |