BS Psychology

Program Overview

The BS in Psychology at NIT offers a rigorous and contemporary foundation in the scientific study of human behavior, cognition, and emotion. The program is designed for students who want to understand how individuals think, feel, and act within personal, social, cultural, and organizational contexts.

Course Curriculum

Grounded in core psychological theory and empirical research, the curriculum emphasizes analytical reasoning, research literacy, and ethical understanding, while maintaining a strong interdisciplinary orientation across the social sciences and humanities. Students are trained to think critically about human behavior using evidence-based frameworks rather than assumptions or intuition.

Throughout the program, students develop essential competencies including critical thinking, research skills, empathy, cultural awareness, and ethical judgment. These capabilities prepare graduates for people-centered professional roles as well as for advanced academic study in psychology and related fields.

The curriculum exposes students to major domains of psychology such as cognitive, developmental, social, and behavioral psychology while encouraging engagement with contemporary psychological issues relevant to society, organizations, and human well-being. Graduates are well positioned for entry-level roles in human services, organizational settings, research environments, and social development initiatives, as well as for postgraduate education in psychology, counseling, clinical psychology, organizational behavior, and allied disciplines.

Accelerated Master’s Degree (4+1 Pathway):

High-performing students in the BS in Psychology program may pursue a 4+1 Accelerated Master’s Pathway in collaboration with Arizona State University (ASU). This pathway enables students to earn both a bachelor’s and a master’s degree in just five years—four years of undergraduate study at NIT followed by one year of postgraduate education at Arizona State University’s New College of Interdisciplinary Arts and Sciences.

Students may choose from two advanced master’s options:

Master of Science in Psychology (Online):
This program provides advanced training in psychological theory and empirical research related to human behavior, cognition, emotion, and attitudes. The curriculum emphasizes applied understanding of cognitive, developmental, physiological, and social psychology. Students engage deeply with contemporary psychological issues through coursework, applied learning, and a final capstone project.

Master in Psychology (Positive Psychology) – On Campus:
This program focuses on the science of well-being, meaning, and human flourishing. Students gain a strong grounding in the foundations of positive psychology, research methodologies, and evidence-based interventions designed to enhance individual, organizational, and societal well-being. The program prepares graduates to contribute to transformational practices that promote resilience, equity, inclusion, and optimal human functioning.

The 4+1 pathway significantly enhances academic depth, global exposure, and career mobility, positioning graduates for advanced professional roles or doctoral-level study in psychology and behavioral sciences.

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. 

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 Psychology are prepared for entry-level roles in human services, organizational settings, and research environments.

  • Psychology Research Assistant
  • Human Resource Officer
  • Behavioral Analyst
  • Counseling Assistant
  • Social Development Officer
  • Learning & Development Associate
  • Case Management Assistant
  • Program Coordinator (NGOs / Social Sector)

Graduates typically pursue postgraduate studies in psychology, counseling, clinical psychology, organizational behavior, or allied fields.

Admissions to earn the MS Psychology and MS Positive Psychology degree by the New College of Interdisciplinary Arts and Science at Arizona State University (ASU):

Master of Science in Psychology 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 in Psychology (Positive Psychology) 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.

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, or a minimum cumulative GPA of 3.00 (scale is 4.00 = “A”) in an applicable master’s degree program.

Proof of English proficiency: TOEFL>80 iBT, IELTS>6.5, Pearson Test of English>60, or Duolingo>105, taken within the last two years from start date.

It is recommended but not required that applicants have a background in psychology, sociology, communication, business, education or other closely related fields. It also is strongly recommended, but not required, that applicants have successfully completed a statistics course and research methods course.

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).   
  • 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.   
    • English is compulsory; CAS and TOK must be completed.   
    • Students must also pass Urdu, Islamiat and Pakistan Studies (via O-Level/SSC/IB).
  • High School Diploma (HSD):
    • Minimum 60% overall.   
    • English is required, along with four principal electives in grades 9–12.  
    • Students must also pass Urdu, Islamiat and Pakistan Studies (via O-Level/SSC/HSD) 

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

Core Required Courses for all majors:

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

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

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

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

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

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

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

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

Discover what NIT has to offer

Take the next step

Department

School of Social Sciences

Contact: