Comprehensive Course Structure
The curriculum for the Education program at Sandip University Nashik is designed to provide students with a well-rounded educational experience that combines theoretical knowledge with practical application. The program spans 8 semesters, with each semester consisting of core courses, departmental electives, science electives, and laboratory sessions. The total credit hours required for graduation are 160, with each course carrying specific lecture (L), tutorial (T), practical (P), and credit (C) values.
| Semester | Course Code | Course Title | L-T-P-C | Prerequisites |
|---|---|---|---|---|
| 1 | EDU101 | Introduction to Educational Psychology | 3-0-0-3 | None |
| 1 | EDU102 | Foundations of Learning Theory | 3-0-0-3 | None |
| 1 | EDU103 | Pedagogical Methods | 3-0-0-3 | None |
| 1 | SC101 | Introduction to Computer Science | 3-0-0-3 | None |
| 1 | SC102 | Mathematics for Education | 3-0-0-3 | None |
| 1 | EDU104 | Child Development | 3-0-0-3 | None |
| 2 | EDU201 | Educational Sociology | 3-0-0-3 | EDU101, EDU103 |
| 2 | EDU202 | Research Methodology | 3-0-0-3 | EDU101, SC102 |
| 2 | EDU203 | Assessment and Evaluation | 3-0-0-3 | EDU201, EDU202 |
| 2 | SC201 | Data Structures and Algorithms | 3-0-0-3 | SC101 |
| 2 | SC202 | Programming Fundamentals | 3-0-0-3 | SC101 |
| 2 | EDU204 | Educational Leadership | 3-0-0-3 | EDU101, EDU103 |
| 3 | EDU301 | Curriculum Design | 3-0-0-3 | EDU201, EDU203 |
| 3 | EDU302 | Instructional Technology | 3-0-0-3 | EDU204, SC201 |
| 3 | EDU303 | Special Education | 3-0-0-3 | EDU101, EDU201 |
| 3 | SC301 | Database Management Systems | 3-0-0-3 | SC201 |
| 3 | SC302 | Computer Networks | 3-0-0-3 | SC201, SC202 |
| 3 | EDU304 | Educational Policy Analysis | 3-0-0-3 | EDU201, EDU202 |
| 4 | EDU401 | Educational Data Mining | 3-0-0-3 | SC301, EDU301 |
| 4 | EDU402 | Learning Analytics | 3-0-0-3 | EDU301, SC301 |
| 4 | EDU403 | Educational Innovation | 3-0-0-3 | EDU302, EDU401 |
| 4 | SC401 | Artificial Intelligence and Machine Learning | 3-0-0-3 | SC301, SC302 |
| 4 | SC402 | Web Development Technologies | 3-0-0-3 | SC202, SC301 |
| 4 | EDU404 | Digital Storytelling | 3-0-0-3 | EDU302, EDU304 |
| 5 | EDU501 | Advanced Educational Technology | 3-0-0-3 | EDU401, EDU402 |
| 5 | EDU502 | Educational Game Design | 3-0-0-3 | EDU403, SC401 |
| 5 | EDU503 | Universal Design for Learning | 3-0-0-3 | EDU303, EDU401 |
| 5 | SC501 | Big Data Analytics | 3-0-0-3 | SC301, SC401 |
| 5 | EDU504 | Educational Research and Evaluation | 3-0-0-3 | EDU202, EDU401 |
| 5 | EDU505 | Sustainable Education | 3-0-0-3 | EDU304, EDU404 |
| 6 | EDU601 | Learning Management Systems | 3-0-0-3 | EDU501, EDU502 |
| 6 | EDU602 | Educational Data Mining | 3-0-0-3 | EDU504, SC501 |
| 6 | EDU603 | Advanced Learning Analytics | 3-0-0-3 | EDU402, EDU501 |
| 6 | SC601 | Cloud Computing | 3-0-0-3 | SC302, SC401 |
| 6 | EDU604 | Educational Leadership and Administration | 3-0-0-3 | EDU304, EDU501 |
| 7 | EDU701 | Capstone Project I | 0-0-6-6 | EDU504, EDU602 |
| 7 | EDU702 | Advanced Research Methods | 3-0-0-3 | EDU202, EDU504 |
| 7 | EDU703 | Educational Innovation Lab | 0-0-6-6 | EDU601, EDU602 |
| 8 | EDU801 | Capstone Project II | 0-0-6-6 | EDU701, EDU703 |
| 8 | EDU802 | Educational Policy and Planning | 3-0-0-3 | EDU404, EDU505 |
| 8 | EDU803 | Professional Development in Education | 3-0-0-3 | EDU604, EDU702 |
| 8 | SC801 | Educational Technology Internship | 0-0-6-6 | EDU703, EDU801 |
Detailed Course Descriptions
Advanced Educational Technology is a course designed to explore the integration of emerging technologies in educational settings. Students will examine current trends in digital learning platforms, virtual reality applications in education, and the use of artificial intelligence for personalized learning experiences.
The course emphasizes both theoretical understanding and practical implementation through hands-on workshops and case studies from leading educational institutions. Students will learn to design and evaluate educational technology solutions that enhance learning outcomes and address diverse student needs.
Educational Game Design
Educational Game Design focuses on the principles and practices of creating engaging learning experiences through game-based approaches. The course covers game mechanics, storytelling techniques, user experience design, and assessment strategies specific to educational games.
Students will develop a comprehensive understanding of how games can be used to teach complex concepts, foster collaboration, and motivate learners. The curriculum includes both theoretical frameworks and practical application through project development and peer review processes.
Universal Design for Learning
Universal Design for Learning (UDL) is an approach that aims to provide all students with equal access to educational opportunities regardless of their learning differences or disabilities. This course explores the principles of UDL and how they can be applied in various educational contexts.
The curriculum emphasizes creating flexible learning environments that accommodate diverse learners while maintaining high academic standards. Students will examine real-world examples of successful UDL implementations and develop strategies for integrating UDL principles into their own teaching practices.
Big Data Analytics
Big Data Analytics in Education explores the application of data science techniques to educational problems. The course covers data collection methods, statistical analysis, predictive modeling, and visualization tools relevant to educational research and practice.
Students will learn to analyze large datasets from various educational sources including learning management systems, student assessment records, and demographic information. The course emphasizes ethical considerations in data usage and the importance of evidence-based decision-making in educational settings.
Educational Research and Evaluation
Educational Research and Evaluation provides students with advanced skills in research methodology and program evaluation. The course covers qualitative and quantitative research approaches, experimental design, data analysis techniques, and evaluation frameworks specific to educational contexts.
Students will develop the ability to design and conduct independent research projects, evaluate existing educational programs, and communicate findings effectively to diverse audiences. The curriculum emphasizes critical thinking and evidence-based practice in educational research.
Sustainable Education
Sustainable Education integrates environmental sustainability concepts into educational practices and curricula. This course examines how educational institutions can promote sustainable development goals through pedagogical approaches, curriculum design, and institutional practices.
The curriculum explores the intersection of education and sustainability, covering topics such as environmental literacy, climate change education, and sustainable school management practices. Students will learn to develop sustainable education programs that prepare learners for environmental challenges and opportunities.
Learning Management Systems
Learning Management Systems (LMS) course focuses on the design, implementation, and evaluation of digital platforms for delivering educational content and facilitating learning experiences. The course covers LMS features, user interface design, content management strategies, and integration with other educational technologies.
Students will gain hands-on experience in configuring and managing LMS environments, creating engaging digital content, and assessing student learning through digital tools. The curriculum emphasizes best practices for online learning and the role of LMS in supporting diverse learning needs.
Educational Data Mining
Educational Data Mining explores the application of data mining techniques to educational datasets. Students will learn algorithms and methods for extracting meaningful patterns from large educational databases, including student performance data, engagement metrics, and behavioral patterns.
The course emphasizes practical applications in educational research and practice, covering topics such as predictive modeling, clustering analysis, and classification techniques specific to educational contexts. Students will develop skills in using specialized tools and software for educational data analysis.
Advanced Learning Analytics
Advanced Learning Analytics builds upon foundational concepts in learning analytics to examine complex data relationships and predictive modeling in educational environments. The course covers advanced statistical methods, machine learning applications, and real-time data processing techniques.
Students will learn to interpret complex analytical outputs, develop customized dashboards for educational decision-making, and integrate learning analytics into institutional planning processes. The curriculum emphasizes the role of data-driven approaches in improving educational outcomes and student success.
Educational Leadership and Administration
Educational Leadership and Administration prepares students for leadership roles in educational institutions. The course covers administrative principles, policy development, resource management, and strategic planning in educational contexts.
Students will examine leadership theories and practices specific to educational settings, analyze institutional challenges, and develop skills for effective decision-making and change management. The curriculum emphasizes ethical leadership and the role of administrators in promoting equity and excellence in education.
Project-Based Learning Philosophy
The Department of Education at Sandip University Nashik embraces a project-based learning approach that emphasizes real-world application, critical thinking, and collaborative problem-solving. This philosophy recognizes that effective educators must be able to design, implement, and evaluate educational interventions based on evidence and experience.
Mini-projects begin in the second year and continue throughout the program, allowing students to apply theoretical knowledge to practical scenarios. These projects are typically completed in teams of 3-5 students and involve research, design, implementation, and evaluation phases. Each project is mentored by faculty members with expertise in relevant areas.
The final-year capstone project, known as the 'Future Educator Fellowship,' represents the culmination of students' academic journey. This comprehensive project involves working directly with educational organizations to address real challenges in teaching and learning environments. Students develop innovative solutions that demonstrate their mastery of educational principles and practical application skills.
Project selection is based on student interests, faculty expertise, and current educational needs identified through industry partnerships and community engagement. Faculty mentors are assigned based on project requirements and student preferences, ensuring optimal guidance and support throughout the project development process.