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Fees
₹4,50,000
Placement
94.5%
Avg Package
₹7,50,000
Highest Package
₹12,00,000
Fees
₹4,50,000
Placement
94.5%
Avg Package
₹7,50,000
Highest Package
₹12,00,000
Seats
120
Students
120
Seats
120
Students
120
The Psychology program at Shyam University Dausa is structured over 8 semesters, providing students with a well-rounded academic experience that combines theoretical knowledge with practical application. The curriculum is designed to build upon foundational concepts and progressively introduce advanced topics, ensuring that students develop a deep understanding of the field. The program includes core courses, departmental electives, science electives, and laboratory courses that are carefully selected to align with the latest trends and research in psychology.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | PSY101 | Introduction to Psychology | 3-0-0-3 | None |
| 1 | PSY102 | Research Methods in Psychology | 3-0-0-3 | None |
| 1 | PSY103 | Biological Psychology | 3-0-0-3 | None |
| 1 | PSY104 | Statistics for Psychology | 3-0-0-3 | None |
| 1 | PSY105 | Introduction to Cognitive Psychology | 3-0-0-3 | None |
| 1 | PSY106 | Psychology Lab | 0-0-3-1 | None |
| 2 | PSY201 | Developmental Psychology | 3-0-0-3 | PSY101 |
| 2 | PSY202 | Social Psychology | 3-0-0-3 | PSY101 |
| 2 | PSY203 | Perception and Learning | 3-0-0-3 | PSY101 |
| 2 | PSY204 | Psychological Measurement | 3-0-0-3 | PSY104 |
| 2 | PSY205 | Cognitive Psychology Lab | 0-0-3-1 | PSY105 |
| 2 | PSY206 | Research Ethics | 3-0-0-3 | PSY102 |
| 3 | PSY301 | Clinical Psychology | 3-0-0-3 | PSY201 |
| 3 | PSY302 | Neuropsychology | 3-0-0-3 | PSY103 |
| 3 | PSY303 | Industrial/Organizational Psychology | 3-0-0-3 | PSY202 |
| 3 | PSY304 | Health Psychology | 3-0-0-3 | PSY201 |
| 3 | PSY305 | Psychological Research Project | 0-0-3-3 | PSY206 |
| 3 | PSY306 | Advanced Statistics | 3-0-0-3 | PSY104 |
| 4 | PSY401 | Behavioral Economics | 3-0-0-3 | PSY306 |
| 4 | PSY402 | Cross-Cultural Psychology | 3-0-0-3 | PSY202 |
| 4 | PSY403 | Psychology of Learning | 3-0-0-3 | PSY203 |
| 4 | PSY404 | Psychology of Personality | 3-0-0-3 | PSY101 |
| 4 | PSY405 | Psychology Capstone Project | 0-0-6-6 | PSY305 |
| 4 | PSY406 | Internship in Psychology | 0-0-0-3 | PSY305 |
| 5 | PSY501 | Advanced Cognitive Psychology | 3-0-0-3 | PSY306 |
| 5 | PSY502 | Psychological Assessment | 3-0-0-3 | PSY204 |
| 5 | PSY503 | Psychology of Emotion | 3-0-0-3 | PSY101 |
| 5 | PSY504 | Psychology of Motivation | 3-0-0-3 | PSY101 |
| 5 | PSY505 | Psychology of Stress | 3-0-0-3 | PSY201 |
| 5 | PSY506 | Psychology of Creativity | 3-0-0-3 | PSY101 |
| 6 | PSY601 | Psychology of Decision Making | 3-0-0-3 | PSY501 |
| 6 | PSY602 | Psychology of Leadership | 3-0-0-3 | PSY303 |
| 6 | PSY603 | Psychology of Conflict Resolution | 3-0-0-3 | PSY202 |
| 6 | PSY604 | Psychology of Communication | 3-0-0-3 | PSY202 |
| 6 | PSY605 | Psychology of Team Dynamics | 3-0-0-3 | PSY303 |
| 6 | PSY606 | Psychology of Innovation | 3-0-0-3 | PSY506 |
| 7 | PSY701 | Psychology of Technology | 3-0-0-3 | PSY501 |
| 7 | PSY702 | Psychology of Artificial Intelligence | 3-0-0-3 | PSY501 |
| 7 | PSY703 | Psychology of Human-Computer Interaction | 3-0-0-3 | PSY501 |
| 7 | PSY704 | Psychology of Data Analytics | 3-0-0-3 | PSY306 |
| 7 | PSY705 | Psychology of Machine Learning | 3-0-0-3 | PSY501 |
| 7 | PSY706 | Psychology of Cybersecurity | 3-0-0-3 | PSY501 |
| 8 | PSY801 | Psychology of Future Trends | 3-0-0-3 | PSY701 |
| 8 | PSY802 | Psychology of Emerging Technologies | 3-0-0-3 | PSY701 |
| 8 | PSY803 | Psychology of Innovation in Business | 3-0-0-3 | PSY602 |
| 8 | PSY804 | Psychology of Sustainable Development | 3-0-0-3 | PSY501 |
| 8 | PSY805 | Psychology of Global Challenges | 3-0-0-3 | PSY501 |
| 8 | PSY806 | Psychology of Leadership in Global Context | 3-0-0-3 | PSY602 |
Advanced departmental elective courses in the Psychology program at Shyam University Dausa are designed to provide students with in-depth knowledge and specialized skills in specific areas of psychology. These courses are offered in the later semesters and are tailored to meet the diverse interests and career goals of students. The following are detailed descriptions of some of the advanced departmental elective courses:
This course delves into the complex mechanisms of human cognition, including perception, memory, attention, and problem-solving. Students will explore current theories and research in cognitive psychology, with a focus on experimental design and data analysis. The course emphasizes the integration of cognitive psychology with neuroscience and artificial intelligence. Learning objectives include understanding the neural basis of cognitive processes, analyzing cognitive research methodologies, and applying cognitive theories to real-world problems.
This course provides students with a comprehensive understanding of psychological assessment tools and techniques. Students will learn about the principles of test construction, reliability, validity, and ethical considerations in psychological assessment. The course covers various types of assessments, including intelligence tests, personality inventories, and neuropsychological assessments. Learning objectives include designing and administering psychological assessments, interpreting assessment results, and understanding the ethical and legal implications of psychological testing.
This course explores the nature, causes, and effects of emotions. Students will examine theories of emotion, including biological, cognitive, and social perspectives. The course also covers the role of emotions in decision-making, interpersonal relationships, and mental health. Learning objectives include understanding the physiological and psychological aspects of emotions, analyzing emotional behavior in various contexts, and applying emotional theories to therapeutic and educational settings.
This course investigates the psychological processes that drive human behavior. Students will explore various theories of motivation, including biological, cognitive, and social perspectives. The course also covers the role of motivation in achievement, performance, and well-being. Learning objectives include understanding the factors that influence motivation, analyzing motivational processes in different contexts, and applying motivational theories to educational and organizational settings.
This course examines the psychological and physiological effects of stress. Students will explore the causes, consequences, and coping mechanisms related to stress. The course also covers stress management techniques and interventions for stress-related disorders. Learning objectives include understanding the stress response system, analyzing stress-related health outcomes, and developing effective stress management strategies.
This course explores the psychological processes underlying creativity. Students will examine theories of creativity, including cognitive, personality, and environmental factors. The course also covers the role of creativity in innovation, artistic expression, and problem-solving. Learning objectives include understanding the cognitive and personality factors that influence creativity, analyzing creative processes in various domains, and applying creative theories to educational and organizational settings.
This course investigates the psychological processes involved in decision-making. Students will explore various models of decision-making, including rational, bounded rationality, and behavioral models. The course also covers the role of emotions, biases, and heuristics in decision-making. Learning objectives include understanding the factors that influence decision-making, analyzing decision-making processes in various contexts, and applying decision-making theories to real-world problems.
This course examines the psychological aspects of leadership. Students will explore various theories of leadership, including transformational, transactional, and situational leadership. The course also covers the role of leadership in organizational behavior and change management. Learning objectives include understanding the psychological traits and behaviors of effective leaders, analyzing leadership styles in different contexts, and applying leadership theories to organizational settings.
This course investigates the psychological factors involved in conflict and its resolution. Students will explore various theories of conflict, including interpersonal, intergroup, and organizational perspectives. The course also covers conflict resolution techniques and mediation strategies. Learning objectives include understanding the causes and consequences of conflict, analyzing conflict resolution processes, and applying conflict resolution techniques in various settings.
This course explores the psychological aspects of human communication. Students will examine verbal and non-verbal communication, interpersonal communication, and group communication. The course also covers the role of communication in relationships, organizational behavior, and social interaction. Learning objectives include understanding the principles of effective communication, analyzing communication processes in various contexts, and applying communication theories to interpersonal and organizational settings.
This course investigates the psychological processes involved in team functioning. Students will explore team development, roles, and group processes. The course also covers team performance, conflict, and collaboration. Learning objectives include understanding the factors that influence team effectiveness, analyzing team processes in various contexts, and applying team dynamics theories to organizational settings.
This course examines the psychological factors that drive innovation and creativity. Students will explore the cognitive, motivational, and social aspects of innovation. The course also covers innovation management and the role of psychology in fostering innovation. Learning objectives include understanding the psychological processes underlying innovation, analyzing innovation in various contexts, and applying innovation theories to organizational settings.
This course explores the psychological impact of technology on human behavior and society. Students will examine the role of technology in cognition, emotion, and social interaction. The course also covers the ethical implications of technology and its impact on mental health. Learning objectives include understanding the psychological effects of technology, analyzing technology use in various contexts, and applying psychological principles to technology design and evaluation.
This course investigates the psychological aspects of artificial intelligence. Students will explore how AI systems mimic human cognitive processes and the implications for psychology. The course also covers the role of AI in education, therapy, and research. Learning objectives include understanding the psychological principles underlying AI systems, analyzing the impact of AI on human behavior, and applying AI concepts to psychological research and practice.
This course examines the psychological principles underlying human-computer interaction. Students will explore user experience, usability, and interface design. The course also covers the role of psychology in developing effective computer systems. Learning objectives include understanding the cognitive and perceptual processes involved in human-computer interaction, analyzing user behavior in digital environments, and applying psychological principles to interface design and evaluation.
This course explores the psychological aspects of data analytics and big data. Students will examine how psychological principles can be applied to data analysis and interpretation. The course also covers the role of psychology in data-driven decision-making. Learning objectives include understanding the psychological factors in data analysis, analyzing data using psychological frameworks, and applying psychological principles to data-driven decision-making.
This course investigates the psychological aspects of machine learning and artificial intelligence. Students will explore how machine learning algorithms can be designed to mimic human learning processes. The course also covers the implications of machine learning for psychology and human behavior. Learning objectives include understanding the psychological principles underlying machine learning, analyzing the impact of machine learning on human cognition, and applying machine learning concepts to psychological research and practice.
This course examines the psychological factors involved in cybersecurity and digital threats. Students will explore user behavior in online environments, security awareness, and the psychology of cybercrime. The course also covers the role of psychology in developing effective cybersecurity strategies. Learning objectives include understanding the psychological aspects of cybersecurity, analyzing user behavior in digital environments, and applying psychological principles to cybersecurity policy and practice.
The department's philosophy on project-based learning is rooted in the belief that hands-on experience is essential for developing critical thinking, research, and problem-solving skills. This approach emphasizes real-world applications and encourages students to engage deeply with psychological concepts and methodologies.
The structure of project-based learning in the Psychology program is designed to progress from foundational projects in early semesters to more complex, independent research in later semesters. Students begin with guided mini-projects that introduce them to research design, data collection, and analysis. These projects are typically completed in small groups under faculty supervision, allowing students to develop collaborative skills and learn from each other.
As students advance, they transition to more independent research projects, culminating in a final-year capstone project. This capstone project requires students to identify a significant psychological question, design a comprehensive study, collect and analyze data, and present their findings in a professional format. The project is supervised by a faculty mentor and often results in publishable research or presentations at academic conferences.
Evaluation criteria for projects include the clarity of research questions, methodological rigor, data analysis skills, ethical considerations, and the ability to communicate findings effectively. Students are assessed on their ability to work independently, collaborate with peers, and apply psychological principles to real-world problems.
Students select their projects and faculty mentors based on their interests and career goals. The department maintains a database of faculty research interests and project ideas, which students can review to find suitable matches. Faculty mentors are selected based on their expertise, availability, and compatibility with student interests.
Mini-projects and the final-year thesis/capstone project are integral components of the program, providing students with valuable experience in research, critical thinking, and academic writing. These projects not only enhance students' understanding of psychological concepts but also prepare them for graduate studies or professional careers in psychology.
