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    Scholarships & exams

    support@collegese.com
    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Education

    NIMS University Jaipur
    Duration
    4 Years
    Education UG OFFLINE

    Duration

    4 Years

    Education

    NIMS University Jaipur
    Duration
    Apply

    Fees

    ₹5,00,000

    Placement

    93.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹12,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Education
    UG
    OFFLINE

    Fees

    ₹5,00,000

    Placement

    93.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹12,00,000

    Seats

    120

    Students

    1,200

    ApplyCollege

    Seats

    120

    Students

    1,200

    Curriculum

    Course Structure Overview

    The B.Tech in Education program at Nims University Jaipur is structured over eight semesters, with a balanced mix of core courses, departmental electives, science electives, and laboratory sessions. This comprehensive approach ensures that students gain both broad foundational knowledge and deep expertise in their chosen specializations.

    SEMESTERCOURSE CODECOURSE TITLECREDIT STRUCTURE (L-T-P-C)PREREQUISITES
    1EDU101Introduction to Education3-0-0-3-
    1EDU102Educational Psychology3-0-0-3-
    1MAT101Mathematics I4-0-0-4-
    1PHY101Physics I3-0-0-3-
    1CHE101Chemistry I3-0-0-3-
    2EDU201Sociology of Education3-0-0-3EDU101
    2EDU202Pedagogy in Practice3-0-0-3EDU101
    2MAT201Mathematics II4-0-0-4MAT101
    2PHY201Physics II3-0-0-3PHY101
    2CHE201Chemistry II3-0-0-3CHE101
    3EDU301Curriculum Design3-0-0-3EDU201
    3EDU302Assessment Methods3-0-0-3EDU202
    3MAT301Statistics for Education3-0-0-3MAT201
    3PHY301Modern Physics3-0-0-3PHY201
    3CHE301Organic Chemistry3-0-0-3CHE201
    4EDU401Educational Technology3-0-0-3EDU301
    4EDU402Child Development3-0-0-3EDU202
    4MAT401Probability & Queueing Theory3-0-0-3MAT301
    4PHY401Electromagnetic Waves3-0-0-3PHY301
    4CHE401Physical Chemistry3-0-0-3CHE301
    5EDU501Educational Leadership3-0-0-3EDU401
    5EDU502Learning Analytics3-0-0-3EDU302
    5MAT501Linear Algebra & Optimization3-0-0-3MAT401
    5PHY501Nuclear Physics3-0-0-3PHY401
    5CHE501Biochemistry3-0-0-3CHE401
    6EDU601Special Education Needs3-0-0-3EDU502
    6EDU602Universal Design for Learning3-0-0-3EDU501
    6MAT601Data Structures & Algorithms3-0-0-3MAT501
    6PHY601Optics & Lasers3-0-0-3PHY501
    6CHE601Environmental Chemistry3-0-0-3CHE501
    7EDU701EdTech Innovation & Entrepreneurship3-0-0-3EDU601
    7EDU702Policy and Planning in Education3-0-0-3EDU602
    7MAT701Machine Learning for Education3-0-0-3MAT601
    7PHY701Quantum Mechanics3-0-0-3PHY601
    7CHE701Industrial Chemistry3-0-0-3CHE601
    8EDU801Capstone Project4-0-0-4All previous courses
    8EDU802Internship2-0-0-2All previous courses
    8MAT801Research Methodology3-0-0-3MAT701
    8PHY801Advanced Topics in Physics3-0-0-3PHY701
    8CHE801Advanced Organic Chemistry3-0-0-3CHE701

    Advanced Departmental Elective Courses

    The following advanced departmental electives are offered in the program to provide students with deeper insights into specialized areas:

    • AI in Education (EDU403): This course explores how artificial intelligence can be used to personalize learning experiences, automate assessments, and predict student performance. Students will learn about machine learning algorithms, neural networks, and natural language processing techniques applied in educational contexts.
    • Game-Based Learning (EDU503): Focused on designing and implementing games as educational tools, this course covers game design principles, gamification strategies, and the psychological mechanisms behind gameplay motivation. Students will develop prototype learning games using industry-standard tools.
    • Educational Data Mining (EDU603): This course teaches students how to extract meaningful patterns from large datasets generated by educational systems. Topics include data preprocessing, clustering, classification, and predictive modeling in the context of student behavior and learning outcomes.
    • Virtual Reality in Education (EDU703): Students will explore the use of VR technology to create immersive learning environments that enhance understanding and retention. The course includes hands-on experience with VR headsets, 3D modeling software, and spatial design principles.
    • Accessibility and Assistive Technologies (EDU803): Designed for students interested in inclusive education, this course focuses on assistive devices, universal design, and legal frameworks supporting equal access to education for individuals with disabilities. Students will conduct accessibility audits of digital learning platforms.
    • Human-Centered Design for Learning (EDU404): This course emphasizes the importance of designing educational solutions from the perspective of learners. Using design thinking methodologies, students will identify user needs, prototype interventions, and evaluate their impact on learning outcomes.
    • Digital Literacy in Schools (EDU504): Aimed at preparing educators for the digital age, this course addresses strategies for integrating technology into classroom instruction, managing digital citizenship, and promoting safe online practices among students.
    • International Education Systems (EDU604): This course compares educational models across different countries, focusing on curriculum frameworks, teacher training programs, and student assessment methods. Students will analyze case studies from developed and developing nations to understand global education challenges.
    • Learning Analytics for Policy Making (EDU704): Designed for policy researchers, this course teaches how to collect, analyze, and interpret educational data to inform decision-making at institutional and governmental levels. Students will work with real datasets from schools and districts.
    • Entrepreneurship in EdTech (EDU804): This course prepares students for launching startups or working within innovation teams of established EdTech companies. Topics include business model development, pitch preparation, funding strategies, and scaling educational products globally.

    Project-Based Learning Philosophy

    The Department of Education at Nims University Jaipur strongly believes in project-based learning as a means to foster creativity, critical thinking, and practical application of knowledge. Projects are designed to mirror real-world challenges in education, encouraging students to collaborate with peers, engage with stakeholders, and propose actionable solutions.

    Mini-Projects

    Throughout the program, students undertake several mini-projects that span different semesters. These projects typically last 2-3 months and are evaluated based on research quality, innovation, presentation skills, and peer feedback. Mini-projects may involve designing a lesson plan, conducting a survey on student engagement, or developing an infographic for educational outreach.

    Final-Year Thesis/Capstone Project

    The capstone project is the culmination of the program and requires students to conduct independent research or develop a comprehensive solution to a pressing educational issue. Students select projects under faculty mentorship, ensuring alignment with their interests and career goals. The final project includes a written thesis, oral presentation, and demonstration of the implemented solution.

    Project Selection Process

    Students begin selecting their capstone projects during the seventh semester, working closely with faculty mentors who guide them through the process of refining research questions, identifying relevant literature, and developing methodologies. The department provides a list of suggested topics aligned with current trends in education and industry needs.