Pune Lavasa Campus

BSc (Psychology, Computer Science) Honours /
Honours with Research

Open from: 26-May-2026 | Open until: 12-Jun-2026

Fully Residential 8 Semester Programme Industrial Training Internship Global Exposure Language & Skill Training Industry Integrated Learning
8
Semester
8
Specialisations
4 Yrs
Duration
Top 50
B-School India
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Applications OpenUntil 12-Jun-2026
100 %
Placement Support
20
Industry Partners
8
Specializations
8
Semesters
Programme Overview

About the Programme

The BSc (Psychology, Computer Science) dual major programme is designed for students who aspire to understand both how humans think and behave and how intelligent technologies are designed and applied. This interdisciplinary undergraduate programme integrates behavioural science with computational intelligence, preparing students for emerging careers at the intersection of psychology, data, and technology in a rapidly digitalising world. As a student in this programme, you will gain a strong foundation in psychological theories, basis of human behaviour, cognitive processes, and behavioural analysis alongside programming, data analytics, and artificial intelligence, equipping you with a unique and future-ready skill set. The department actively promotes industry engagement and research culture through expert lectures, workshops, hackathons, internships, collaborative projects, and final-year dissertations. Graduates are well-prepared for higher education and careers in software development, data science, UX research, healthcare technology, digital mental health, education technology, and AI-driven industries. By integrating technical excellence with human-centred and ethical perspectives, the department nurtures socially responsible professionals equipped for the future digital economy. 

Behavioral Science & Cognitive Learning

Gain knowledge in psychological theories, cognitive processes, and human behaviour analysis.

Programming & Artificial Intelligence

Develop skills in programming, data analytics, and artificial intelligence for modern digital applications.

Research & Industry Exposure

Participate in workshops, hackathons, internships, collaborative projects, and research-driven learning experiences.

Human-Centred & Ethical Technology

Learn to design responsible, ethical, and user-focused technology solutions for the future digital economy.

Why BSC PCS at Pune Lavasa Campus

Why Choose This Programme?

Interdisciplinary Learning
Integrates psychological insights with computing skills to design ethical and intelligent systems.

Hands-on Practical Training
Provides laboratory-based learning in programming, data analysis, AI tools, and psychological experimentation.

Research & Innovation
Encourages internships, applied projects, and capstone research from the early semesters.

Flexible Research Pathways
Offers Honours and Honours with Research options for advanced studies and research careers.

Ethical & Explainable AI
Focuses on human-centred and explainable AI systems aligned with global best practices.

Global & Holistic Exposure
Promotes interdisciplinary electives, MOOC learning, creativity, ethical reasoning, and lifelong learning.

Areas of Specialisation

Choose Your Track

Psychology

Focuses on understanding human behaviour, cognition, emotions, and well-being through scientific inquiry and evidence-based approaches. Prepares students for careers in psychology, behavioural research, counselling, and related fields.

Computer Science

Focuses on programming, data analytics, artificial intelligence, and software development to solve real-world problems. Equips students with the technical skills required for careers in computing, technology, and digital innovation.

Learning Outcomes

What You Will Learn

Human Behaviour Analysis
Programming and Data Analytics
Human-Centred Technology Design
Research and Experimental Skills
Interpersonal and Professional Competencies
Problem-Solving and Cognitive Insights
Lifelong Learning and Innovation
Academic Curriculum

Programme Structure

The programme structure outlines the academic curriculum designed to provide a systematic progression of learning through core subjects, electives, and practical components across semesters, ensuring both theoretical understanding and skill development.

Semester 1 — Foundations of Psychology and Computing
Foundations of Digital Systems Credits
Foundations of Psychology Credits
COREPsychological Processes4 Credits
COREIntroduction to Computers & Programming4 Credits
COREMathematical Foundations for Computer Science3 Credits
SECExperimental Psychology3 Credits
SECMicrosoft Office Essentials3 Credits
MDCMulti Disciplinary Course3 Credits
AECEnglish Communication for Academic Purposes2 Credits
VACHolistic Education – I1 Credits
VACEnvironmental Studies1 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 2 — Behavioural Sciences and Data Foundations
COREHistory and Systems of Psychology4 Credits
COREDevelopmental Psychology4 Credits
COREData Analysis & Visualization using R4 Credits
COREDescriptive Statistics3 Credits
SECFoundations of Neuroanatomy and Neuroscience3 Credits
MDCMulti Disciplinary Course3 Credits
AECCritical Thinking and Academic Writing2 Credits
VACHolistic Education – II1 Credits
VACUnderstanding of India1 Credits
Semester 3 — Human Behaviour, Research and Software Systems
COREPhysiological Psychology4 Credits
COREPersonality Psychology4 Credits
CORESoftware Engineering and Database Management Systems4 Credits
COREData Structures using C4 Credits
SPECResearch Methods for Social Science 3 Credits
MDCMulti Disciplinary Course3 Credits
AECIndian & Foreign Languages – I2 Credits
VACHolistic Education – III1 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 4 — Assessment, Social Applications and Programming Technologies
COREPsychometrics and Assessment4 Credits
COREApplied Social Psychology4 Credits
COREOperating Systems4 Credits
COREUI Design and Web Programming3 Credits
SPECPython Programming3 Credits
Service Learning3 Credits
AECIndian & Foreign Languages – II2 Credits
VACHolistic Education – IV1 Credits
VACIndustry Integrated Course2 Credits
Semester 5 — Mental Health, Machine Learning and Applied Technologies
COREPsychopathology4 Credits
ELECCyberpsychology / Health Psychology3 Credits
CORECounselling Psychology4 Credits
COREMachine Learning4 Credits
COREComputer Networks & Cloud Services3 Credits
ELECBusiness Intelligence / Image and Signal Processing / Cyber Security3 Credits
Internship4 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 6 — Advanced Psychology and Artificial Intelligence Applications
COREOrganizational Psychology4 Credits
COREPsychotherapy4 Credits
ELECElective Educational Psychology / Digital Mental Health / Expressive Arts3 Credits
COREDesign and Analysis of Algorithms3 Credits
ELECDeep Learning / Natural Language Processing and Speech Recognition / Computer Vision4 Credits
ELECMobile Application Development / Web Application Development / Internet of Things3 Credits
Project2 Credits
Semester 7 — Interdisciplinary Research and Advanced Specialisation
Seminar on Interdisciplinary Research Trends2 Credits
COREPsychology Core 14 Credits
COREPsychology Core 24 Credits
COREPsychology Core 34 Credits
ELECPsychology Elective 14 Credits
ELECPsychology Elective 24 Credits
COREComputer Science Core 14 Credits
COREComputer Science Core 24 Credits
COREComputer Science Core 34 Credits
ELECComputer Science Elective 14 Credits
ELECComputer Science Elective 24 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 8 — Capstone Research and Professional Practice
a) Industrial Project
b) Research Project (Honours with Research)
12 Credits
COREPsychology Core 14 Credits
COREPsychology Core 24 Credits
COREComputer Science Core 14 Credits
COREComputer Science Core 24 Credits
Download Brochure 2026
Admissions

Eligibility & Fee Structure

Eligibility Criteria
Fee Structure (Indicative)
After Graduation

Career Paths

Cognitive Data Analyst
UX / Human–Computer Interaction (HCI) Researcher
Behavioural Data Scientist
Digital Mental Health Specialist
AI Ethics Consultant
Cognitive Computing Research Assistant
Human Factors Engineer
Learning Analytics Specialist
Neuroinformatics Associate
Research Associate – Cognitive Science / Psychology
Educational Technology Analyst
Digital Behaviour Analyst
Personalised Path

Your Career Roadmap

Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.

S1-S2
Foundation Phase

Psychological Processes, History and Systems of Psychology, Developmental Psychology, Experimental Psychology, Foundations of Neuroanatomy and Neuroscience, Descriptive Statistics.

Foundation Phase
S3-S4
Core Specialisation

Physiological Psychology, Personality Psychology, Research Methods for Social Science, Psychometrics and Assessment, Applied Social Psychology, Service Learning.

Core Specialisation
S5-S6
Advanced & Application

Psychopathology, Counselling Psychology, Organizational Psychology, Psychotherapy, Cyberpsychology, Health Psychology, Educational Psychology, Digital Mental Health, Internship, Project.

Advanced & Application
Psychology Track — Career Outcomes
Behavioural Research Associate Counselling Psychology Assistant Mental Health Associate Human Resource Executive Learning & Development Specialist Educational Psychology Associate Behavioural Intervention Specialist Community Outreach Coordinator
Average Starting Package: ₹ 4-8 LPA
S1-S2
Foundation Phase

Foundations of Digital Systems, Introduction to Computers & Programming, Mathematical Foundations for Computer Science, Microsoft Office Essentials, Data Analysis & Visualization using R, Descriptive Statistics.

Foundation Phase
S3-S4
Core Specialisation

Software Engineering and Database Management Systems, Data Structures using C, Operating Systems, UI Design and Web Programming, Python Programming, Industry Integrated Course.

Core Specialisation
S3-S4
Advanced & Application

Machine Learning, Computer Networks & Cloud Services, Design and Analysis of Algorithms, Deep Learning, Natural Language Processing and Speech Recognition, Computer Vision, Mobile Application Development, Web Application Development, Internet of Things, Internship, Project.

Advanced & Application
Computer Science Track — Career Outcomes
Software Developer Full Stack Developer Application Developer Machine Learning Associate Data Analyst Cloud Support Engineer AI Engineer Systems Analyst
Average Starting Package: ₹ 5–10 LPA
From the Department

Message from the HOD

HOD Name
Dr Lija Jacob
Computer Science)
Pune Lavasa Campus

Welcome to the Department of Computer Science at CHRIST (Deemed to be Univers

Read more...

Computer Science, Pune Lavasa Campus
How to Join

Admission Process

1
Register
  • Register with your Email ID
  • Login to the Admission Portal
2
Apply Online
  • Fill the Application Form
  • Pay Application Fee
3
Entrance Test
  • Entrance Test (If Applicable)
  • Assessment
  • Interview
4
Result
  • Check login page for result
  • If selected, Offer Letter attached
5
Fee Payment
  • Pay Course Fee Online
  • Complete Admission Process
Ready to Apply?

Applications for the 2026 batch are open. Deadline: 12-Jun-2026.

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(Deemed to be University)

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Tel: +91 80 4012 9100 / 9600

Fax: +91 80 4012 9000

Email: mail@christuniversity.in

Web: https://www.christuniversity.in

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