BS Economics & Mathematics
Program Overview
The BS in Economics & Mathematics at NIT is designed for students who want to understand how economies function, how decisions are optimized, and how complex systems can be modeled using rigorous quantitative tools. The program builds strong analytical thinkers who can move comfortably between theory, data, and real-world problem solving.
Course Curriculum
Grounded in economic theory, advanced mathematics, statistics, and quantitative modeling, the curriculum emphasizes logical reasoning, abstraction, and evidence-based analysis. Students learn to frame economic and financial problems precisely, construct formal models, and derive insights using mathematical and statistical methods.
The program develops deep competence in mathematical economics, econometrics, optimization, and analytical reasoning, enabling students to analyze markets, forecast outcomes, evaluate risk, and interpret large-scale economic and financial data. Strong emphasis is placed on clarity of thought, precision, and methodological discipline.
Students progress from foundational courses in microeconomics, macroeconomics, calculus, linear algebra, and probability into advanced coursework in econometrics, mathematical modeling, and quantitative analysis. This structure prepares graduates for data-intensive roles across economics, finance, analytics, policy research, and applied quantitative fields.
Graduates of the BS in Economics & Mathematics are well prepared for analytically demanding careers and for advanced academic study in economics, data science, finance, actuarial science, or applied mathematics.
Accelerated Master’s Degree (4+1 Pathway):
High-performing students in the BS Economics & Mathematics program may pursue a 4+1 Accelerated Master’s Pathway, allowing them to earn both a bachelor’s and a master’s degree in just five years. Students complete four years of undergraduate study at NIT, followed by one year of postgraduate education through Arizona State University (ASU).
This pathway enables a smooth transition into advanced graduate programs with strong quantitative, analytical, and managerial orientations. Through Arizona State University’s globally recognized offerings particularly those aligned with analytics, economics, and management students deepen their technical expertise while gaining international academic exposure.
Students may choose from two advanced master’s options:
- Masters of Leadership and Management (MLM), delivered fully online
- Masters of Global Management (MGM), offered on-campus
The accelerated pathway strengthens career mobility, analytical depth, and global competitiveness, positioning graduates for senior analytical roles, research careers, and further doctoral-level study in quantitative and economics-driven disciplines.
Practical Learning Experience
With a strong emphasis on real-world applications, the program includes capstone projects, hands-on labs, and electives in machine learning, digital signal processing, human-computer interaction, and more—ensuring students graduate job-ready and innovation-driven.Â
Note: Final year at ASU and dual degree eligibility depend on successful credit transfer and approval by Arizona State University. Program details may vary based on academic progress.
Career Pathways:
Graduates of the BS in Economics & Mathematics are prepared for quantitatively intensive roles across finance, analytics, and research domains.
- Quantitative Analyst
- Economic Research Associate
- Data & Statistical Analyst
- Financial Modeling Analyst
- Risk & Forecasting Analyst
- Actuarial Analyst
- Policy Research Analyst
- Business Analytics Associate
Graduates may pursue advanced studies in economics, data science, finance, or applied mathematics.
Admissions to earn the MLM and MGM degree by Thunderbird Global School of Management at Arizona State University (ASU):
Master of Leadership Management (MLM) online: NIT undergraduate program diploma + official transcripts from every college or institution attended, including NIT’s. Must submit original transcripts and English translated transcripts.
Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = “A”) in the last 60 hours of their first bachelor’s degree program.
Proof of English proficiency: (TOEFL>80 iBT, IELTS>6.5, Pearson Test of English>60, Duolingo>105), all taken within the last two years from start date.
Master of Global Management (MGM) on-Campus: NIT undergraduate program diploma + official transcripts from every college or institution attended, including NIT’s. Must submit original transcripts and English translated transcripts.
Min cum GPA of 3.00 (scale is 4.00 = “A”) in the last 60 semester hours or 90 quarter hours of undergraduate coursework and min. 80 points (B) for each bridge.
Proof of English proficiency: TOEFL>100 iBT, IELTS>7.5, Pearson Test of English>68,Duolingo>125, all taken within the last two years from start date OR successful completion of Arizona State University’s Global Launch.
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
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 |
|---|---|
PSE 100: Introduction to Engineering | 3 Credits |
CSE 110: Principles of Programming | 3 Credits |
MAT 265: Calculus for Engineers 1 | 3 Credits |
CEE 181: Technological, Social, & Sustainable System | 3 Credits |
PHI 105: Intro to Ethics | 3 Credits |
| Total Credits | 15 Credits |
| Summer Semester 2 (Summer Session IV) | Credits |
|---|---|
CSE 205: Object-Oriented Programming and Data Structures | 3 Credits |
MAT 266: Calculus for Engineers II | 3 Credits |
CHM 107: Chemistry and Society | 3 Credits |
CHM 108: Chemistry and Society Laboratory | 3 Credits |
EEL 120: Digital Design Fundamentals | 3 Credits |
MGT 302: Principles of International Business | 3 Credits |
PAK 101: Islamic Studies | 3 Credits |
| Total Credits | 21 Credits |
Year Two
| Spring Semester 1 | Credits |
|---|---|
ENG 101: English Composition 1 | 3 Credits |
CSE 240: Introduction to Programming Languages | 3 Credits |
MAT 263: Discrete Mathematical Structures | 3 Credits |
PHY 221: Calculus for Engineers III | 3 Credits |
PHY 131: University Physics II: Electricity and Magnetism | 3 Credits |
| PHY 132: University Physics Laboratory II | 3 Credits |
| PAK 102: History and Culture of Pakistan | 3 Credits |
| Total Credits | 21 Credits |
| Summer Semester 2 (Summer Session IV) | Credits |
|---|---|
ENG 102: English Composition II | 3 Credits |
CSE 230: Computer Organization and Assembly Language Programming | 3 Credits |
CSE 310: Data Structures and Algorithms | 3 Credits |
FIS 201: Innovation in Society | 3 Credits |
PHY 131: University Physics II: Electricity and Magnetism | 3 Credits |
PHY 132: University Physics Laboratory II | 3 Credits |
| Total Credits | 18 Credits |
Year Three
| Spring Semester 1 | Credits |
|---|---|
CSE 355: Introduction to Theoretical Computer Science | 3 Credits |
CSE 301: Computing Ethics | 3 Credits |
CSE 360: Introduction to Software Engineering | 3 Credits |
CSE 365: Information Assurance | 3 Credits |
IEE 380: Probability and statistics for Engineering Problem Solving | 3 Credits |
PSY 101: Introduction to Psychology | 3 Credits |
| Total Credits | 21 Credits |
| Summer Semester 2 (Summer Session IV) | Credits |
|---|---|
CSE 345: Principles of Programming Languages | 3 Credits |
CSE 330: Operating Systems | 3 Credits |
CSE 445: Distributed Software Development | 3 Credits |
CSE 455: Database Management | 3 Credits |
MAT 343: Applied Linear Algebra | 3 Credits |
COM 225: Public Speaking | |
CSE 412: Database Management | 3 Credits |
| Total Credits | 18 Credits |
Year Four
| Spring Semester 1 | Credits |
|---|---|
CSE 498: Computer Science Capstone Project I | 3 Credits |
CSE 420: Computer Architecture I | 3 Credits |
CSE 434: Computer Networks | 3 Credits |
CSE 478: Foundation of Data Visualization | 3 Credits |
Elective | 3 Credits |
| Total Credits | 21 Credits |
| Summer Semester 2 (Summer Session IV) | Credits |
|---|---|
| CSE 498: Computer Science Capstone Project II | 3 Credits |
| CSE 469: Introduction to Human-Computer Interaction | 3 Credits |
| CSE 471: Introduction to Artificial Intelligence | 3 Credits |
| Elective | 3 Credits |
| Elective | 3 Credits |
| Electives: MGT 380: Management and Strategy CSE 407: Digital Signal Processing CSE 476: Introduction to Natural Language Processing CSE 565: Software Verification, Validation, and Testing CSE 566: Software Project, Process, and Quality Management CSE 543: Information Assurance and Security | 3 Credits |
| Total Credits | 18 Credits |