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 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.
Choose Your Track
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.
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.
What You Will Learn
Eligibility & Fee Structure
Career Paths
Your Career Roadmap
Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.
Psychological Processes, History and Systems of Psychology, Developmental Psychology, Experimental Psychology, Foundations of Neuroanatomy and Neuroscience, Descriptive Statistics.
Physiological Psychology, Personality Psychology, Research Methods for Social Science, Psychometrics and Assessment, Applied Social Psychology, Service Learning.
Psychopathology, Counselling Psychology, Organizational Psychology, Psychotherapy, Cyberpsychology, Health Psychology, Educational Psychology, Digital Mental Health, Internship, Project.
Foundations of Digital Systems, Introduction to Computers & Programming, Mathematical Foundations for Computer Science, Microsoft Office Essentials, Data Analysis & Visualization using R, Descriptive Statistics.
Software Engineering and Database Management Systems, Data Structures using C, Operating Systems, UI Design and Web Programming, Python Programming, Industry Integrated Course.
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.
Message from the HOD
Pune Lavasa Campus
Welcome to the Department of Computer Science at CHRIST (Deemed to be University), Pune Lavasa Campus!
Message from the HOD
Welcome to the Department of Computer Science at CHRIST (Deemed to be University), Pune Lavasa Campus!
In today’s rapidly evolving digital era, Computer Science drives transformative advancements in Artificial Intelligence, Data Science, Cybersecurity, Cloud Computing, Software Engineering, and beyond. Equally, the integration of psychology with computing has opened new frontiers in areas such as Cognitive Science, Behavioral Analytics, Human–Computer Interaction, Computational Psychology, User Experience (UX) Design, and Mental Health Technologies. At CHRIST (Deemed to be University), Pune Lavasa Campus, we offer a dynamic and experiential learning environment that goes beyond textbooks. Our department now offers two undergraduate programmes: the Bachelor of Science in Computer Applications (BCA / Honours / Honours with Research) and the BSc (Psychology, Computer Science) – Honours / Honours with Research. Both programmes are designed to equip students with industry-relevant skills, interdisciplinary perspectives, and future-ready competencies, preparing them for careers in technology, behavioral research, digital innovation, and human-centric computing sectors.
With a dedicated team of faculty members possessing rich academic, research, and industry experience, students gain real-world insights through hands-on projects, industry collaborations, live case studies, and research-driven learning. Our 24x7 campus provides unrestricted access to state-of-the-art computing and research facilities, fostering experimentation and innovation. Technical clubs, hackathons, internships, workshops, and industry engagement programmes further enhance creativity, teamwork, and professional growth, ensuring a seamless transition from academia to the professional world.
By choosing the Lavasa Campus, students become part of a vibrant tech ecosystem, where learning meets innovation-empowering them not just to study technology, but to shape the future with it.
Admission Process
- Register with your Email ID
- Login to the Admission Portal
- Fill the Application Form
- Pay Application Fee
- Entrance Test (If Applicable)
- Assessment
- Interview
- Check login page for result
- If selected, Offer Letter attached
- Pay Course Fee Online
- Complete Admission Process
Ready to Apply?
Applications for the 2026 batch are open. Deadline: 12-Jun-2026.