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M-SC-M-TECH-DUAL-DEGREE in Other M Sc And M Tech Combinations at Indian Institute of Technology Jodhpur
Jodhpur, Rajasthan
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About the Specialization
What is Other M.Sc and M.Tech combinations at Indian Institute of Technology Jodhpur Jodhpur?
This Digital Humanities with Artificial Intelligence Dual Degree program at IIT Jodhpur focuses on bridging the gap between computational sciences and humanistic inquiry. It addresses the growing need for experts who can leverage AI and data science to analyze complex cultural, social, and historical data, offering a unique interdisciplinary perspective highly relevant to India''''s diverse cultural landscape and emerging tech sector. The program integrates rigorous technical training with profound humanistic understanding.
Who Should Apply?
This program is ideal for high-achieving B.Tech graduates or students admitted through JEE Advanced, particularly those with a keen interest in both computational methods and humanistic fields. It suits individuals aspiring to apply AI to social sciences, arts, literature, and history, or professionals looking to transition into data-driven roles within cultural organizations, educational institutions, or tech companies focusing on content and knowledge systems in India.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths in fields like AI ethics, cultural analytics, digital archiving, smart heritage, and educational technology. Potential roles include Data Scientist (Humanities), Digital Curator, AI Ethicist, or Researcher in interdisciplinary labs. Salary ranges vary, from entry-level 6-10 LPA to experienced roles reaching 15-25+ LPA in leading Indian companies and research institutions, aligning with strong growth trajectories in these specialized areas.
Student Success Practices
Foundation Stage
Master Core Programming & Data Fundamentals- (Semester 1-2)
Dedicate significant time to mastering Python, data structures, and algorithms. Actively participate in coding competitions and solve problems on platforms to solidify your computational thinking. This ensures a strong base for advanced AI and DH applications.
Tools & Resources
LeetCode, HackerRank, GeeksforGeeks, Jupyter Notebooks
Career Connection
Strong programming skills are foundational for any AI/ML role and for developing digital tools in humanities. This directly impacts your ability to secure internships and entry-level positions.
Interdisciplinary Reading and Discussion Groups- (Semester 1-2)
Form small study groups to discuss concepts from both Digital Humanities and AI subjects. Engage in critical reading of seminal papers and books from both fields to develop an integrated understanding. This helps in identifying areas for cross-disciplinary research.
Tools & Resources
Academic journals (e.g., Digital Scholarship in the Humanities, AI Magazine), Online forums
Career Connection
Cultivates a unique interdisciplinary perspective highly valued in specialized research and development roles, enabling innovative problem-solving in complex domains.
Early Project-Based Learning- (Semester 1-2)
Start working on small personal projects that combine DH and AI concepts. For instance, analyze a historical text using NLP, or visualize cultural data with interactive dashboards. This hands-on approach builds practical skills and portfolio items.
Tools & Resources
GitHub, Kaggle, Tableau Public, Google Colab
Career Connection
Builds a portfolio of practical work, which is crucial for demonstrating skills during internships and job applications, especially in specialized areas that require practical application.
Intermediate Stage
Engage in Research Labs and Faculty Projects- (Semester 3-5)
Seek opportunities to work with faculty members on their ongoing research projects in DH and AI. This provides exposure to real-world research problems, methodologies, and academic publication processes. Attend department seminars and workshops.
Tools & Resources
IIT Jodhpur Research Labs, Departmental seminar series
Career Connection
Offers invaluable research experience, helps identify potential thesis topics, and builds mentor relationships, critical for academic or advanced R&D careers.
Participate in Hackathons and Data Challenges- (Semester 3-5)
Actively participate in hackathons and data science challenges focused on social good, cultural data, or AI applications. This enhances problem-solving skills, teamwork, and ability to deliver under pressure, while gaining exposure to industry-relevant problems.
Tools & Resources
Devpost, Kaggle competitions, IIT Jodhpur''''s innovation cells
Career Connection
Develops practical skills highly sought after by employers, provides networking opportunities, and creates tangible projects for your resume, improving placement prospects.
Develop Specialization through Electives and Online Courses- (Semester 3-5)
Strategically choose programme electives that align with your specific interests within DH and AI (e.g., NLP for literature, Computer Vision for art). Supplement with relevant MOOCs from platforms like Coursera or edX to deepen expertise in niche areas.
Tools & Resources
Coursera, edX, NPTEL, MIT OpenCourseware
Career Connection
Enables you to carve out a unique professional niche, making you a more attractive candidate for specialized roles and advanced studies, distinguishing you from generalists.
Advanced Stage
Focus on Thesis/Industrial Project for Impactful Contribution- (Semester 6-8 (M.Sc) / Semester 9-10 (M.Tech))
Treat your M.Tech Thesis/Industrial Project as a capstone experience. Aim to develop a novel solution or conduct significant research that contributes to either the DH or AI field, or ideally, both. Seek industry mentorship if doing an industrial project.
Tools & Resources
Research collaboration platforms, Industry partners for projects
Career Connection
A strong thesis or industrial project demonstrates your ability to conduct independent research, solve complex problems, and deliver impactful results, directly leading to better job offers or Ph.D. admissions.
Network and Attend Conferences/Workshops- (Semester 6-10)
Actively network with professionals and academics in both Digital Humanities and AI. Attend national and international conferences (e.g., DHARTI, AAAI, ACL) or local workshops. Present your research findings to gain visibility and feedback.
Tools & Resources
LinkedIn, Professional associations (e.g., ADHO, AAAI), Conference websites
Career Connection
Builds professional connections that can lead to job opportunities, collaborations, and mentorship, crucial for career progression in a specialized and interdisciplinary field.
Prepare a Targeted Career Portfolio and Interview Skills- (Semester 8-10)
Compile a comprehensive portfolio showcasing your projects, research papers, and skills. Practice mock interviews, focusing on both technical AI questions and discussions around ethical implications and humanistic perspectives of your work, tailored for potential employers.
Tools & Resources
Personal website/GitHub portfolio, Career services at IIT Jodhpur, Interview prep platforms
Career Connection
Streamlines job search by effectively presenting your unique skill set, increasing your chances of securing placements in top companies and research organizations aligned with your dual degree expertise.
Program Structure and Curriculum
Eligibility:
- B.Tech. students of IIT Jodhpur or students admitted through JEE Advanced for this specific dual degree program.
Duration: 10 semesters / 5 years
Credits: 180 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DHA1110 | Introduction to Digital Humanities | Core | 3 | Evolution of Digital Humanities, Key Concepts and Methodologies, Digital Tools for Humanities Research, Data Collection and Analysis in DH, Ethical Considerations in DH |
| DHA1120 | Introduction to Artificial Intelligence | Core | 3 | Foundations of AI, Problem Solving Agents, Search Algorithms, Knowledge Representation, Machine Learning Basics |
| DHA1130 | Programming for DH and AI | Core | 3 | Python Fundamentals, Data Structures, Algorithms, Libraries for DH/AI, Scripting for Data Analysis |
| DHA1140 | Discrete Structures for AI | Core | 3 | Logic and Proofs, Sets and Functions, Graph Theory, Combinatorics, Recurrence Relations |
| DHA1150 | Probability and Statistics for AI | Core | 3 | Probability Theory, Random Variables, Distributions, Hypothesis Testing, Regression Analysis |
| DHA1160 | Data Visualization and Storytelling | Core | 3 | Principles of Data Visualization, Visualization Tools, Storytelling with Data, Infographics, Interactive Visualizations |
| DHA1170 | DH and AI Lab-I | Lab | 2 | Python Programming Exercises, Data Manipulation, Basic AI Model Implementation, Data Visualization Practicals |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DHA1210 | Digital Cultural Heritage | Core | 3 | Digitization of Heritage, Digital Archiving, Cultural Informatics, Virtual Museums, Digital Preservation |
| DHA1220 | Natural Language Processing | Core | 3 | NLP Fundamentals, Text Preprocessing, Language Models, Text Classification, Information Extraction |
| DHA1230 | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Model Evaluation, Ensemble Methods, Neural Networks |
| DHA1240 | Database Management Systems | Core | 3 | Relational Databases, SQL, Database Design, Data Modeling, Query Optimization |
| DHA1250 | Research Methods in DH and AI | Core | 3 | Research Design, Qualitative Research, Quantitative Research, Data Collection Techniques, Ethical Research Practices |
| DHA1260 | Digital Art and Media | Core | 3 | History of Digital Art, Multimedia Production, Interactive Media, Digital Aesthetics, Media Archiving |
| DHA1270 | DH and AI Lab-II | Lab | 2 | NLP Toolkit Usage, Machine Learning Implementation, Database Operations, Data Analysis Projects |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DHA2110 | Information Retrieval and Web Analytics | Core | 3 | IR Models, Search Engines, Web Crawling, Web Usage Mining, Social Network Analysis |
| DHA2120 | Computer Vision for DH | Core | 3 | Image Processing, Object Recognition, Image Feature Extraction, Video Analysis, Digital Image Forensics |
| DHA2130 | Deep Learning | Core | 3 | Neural Network Architectures, Convolutional Networks, Recurrent Networks, Transformers, Generative Models |
| DHA2140 | Ethics of AI and Digital Society | Core | 3 | AI Ethics Principles, Bias in AI, Privacy Concerns, Societal Impact of AI, Regulatory Frameworks |
| DHA2150 | Data Structures and Algorithms | Core | 3 | Algorithm Analysis, Advanced Data Structures, Sorting Algorithms, Graph Algorithms, Dynamic Programming |
| DHA2160 | DH and AI Lab-III | Lab | 2 | Deep Learning Frameworks, Computer Vision Projects, Web Scraping, IR System Development |
| PEXXXX | Programme Elective-I (e.g., Computational Social Science) | Elective | 3 | Social Data Analysis, Network Analysis, Text Mining Social Media, Agent-Based Modeling, Causal Inference |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DHA2210 | Digital Pedagogy and Learning | Core | 3 | E-learning Platforms, Blended Learning, Educational Technologies, Online Assessment, Gamification in Education |
| DHA2220 | Semantic Web and Knowledge Graphs | Core | 3 | RDF, OWL, SPARQL, Ontology Engineering, Knowledge Representation and Reasoning |
| DHA2230 | Explainable AI | Core | 3 | Interpretability vs Explainability, Local and Global Explanations, Feature Importance, Counterfactual Explanations, Ethical XAI |
| DHA2240 | DH and AI Lab-IV | Lab | 2 | Semantic Web Applications, XAI Tooling, DH Project Development, AI Model Deployment |
| PEXXXY | Programme Elective-II (e.g., Cultural Analytics) | Elective | 3 | Quantitative Cultural Studies, Textual Analysis in Humanities, Digital Storytelling, Network Analysis in Culture, Visual Culture Analysis |
| PEXXXZ | Programme Elective-III (e.g., Ethical Hacking and Cyber Security) | Elective | 3 | Network Security, Penetration Testing, Cryptography, Digital Forensics, Cyber Law |
| OEXXXA | Open Elective-I | Elective | 3 | Diverse Interdisciplinary Topics |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DHA3110 | Advanced Research Project-I | Project | 6 | Literature Review, Problem Definition, Methodology Design, Data Collection, Preliminary Analysis |
| DHA3120 | DH and AI Systems Design | Core | 3 | System Architecture, Design Principles, User Experience, Prototyping, Scalability |
| DHA3130 | Machine Learning Operations | Core | 3 | MLOps Lifecycle, Model Deployment, Monitoring and Maintenance, Version Control, Automation |
| PEXXXB | Programme Elective-IV (e.g., Data Privacy and Security) | Elective | 3 | Privacy Preserving Techniques, Data Anonymization, Cryptographic Protocols, Security Audits, GDPR Compliance |
| OEXXXB | Open Elective-II | Elective | 3 | Diverse Interdisciplinary Topics |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DHA3210 | Advanced Research Project-II | Project | 6 | Implementation, Experimentation, Results Analysis, Thesis Writing, Presentation Skills |
| DHA3220 | Digital Curation and Preservation | Core | 3 | Digital Object Management, Preservation Strategies, Metadata Standards, Digital Rights Management, Long-term Archiving |
| DHA3230 | Cloud Computing for AI | Core | 3 | Cloud Architectures, AWS/Azure/GCP Services, Distributed Computing, Serverless Functions, Cost Optimization |
| PEXXXC | Programme Elective-V (e.g., Human-Computer Interaction in DH) | Elective | 3 | HCI Principles, Usability Testing, User-Centered Design, Interface Design, Accessibility in Digital Systems |
| OEXXXC | Open Elective-III | Elective | 3 | Diverse Interdisciplinary Topics |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DHA4110 | Advanced Research Project-III | Project | 8 | Advanced Data Analysis, Model Refinement, Paper Publication, Conference Presentation, Patent Application |
| PEXXXD | Programme Elective-VI (e.g., Blockchain for Digital Assets) | Elective | 3 | Blockchain Fundamentals, Cryptocurrencies, NFTs, Smart Contracts, Decentralized Applications (dApps) |
| PEXXXE | Programme Elective-VII (e.g., Cybernetics and AI) | Elective | 3 | Control Systems, Feedback Mechanisms, Self-Organizing Systems, Adaptive Systems, Human-Machine Interaction |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DHA4210 | Internship/Industrial Project | Project | 6 | Real-world Problem Solving, Industry Best Practices, Team Collaboration, Project Management, Report Writing |
| PEXXXF | Programme Elective-VIII (e.g., Advanced Robotics and Autonomous Systems) | Elective | 3 | Robot Kinematics, Path Planning, Sensor Fusion, Machine Perception, Autonomous Navigation |
Semester 9
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DHA5110 | M.Tech Thesis Part I / Industrial Project | Project | 12 | Thesis Proposal, In-depth Literature Survey, Experimental Design, Initial Implementation, Data Collection |
Semester 10
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DHA5210 | M.Tech Thesis Part II / Industrial Project | Project | 12 | Comprehensive Data Analysis, Final Model Development, Thesis Writing, Oral Defense, Research Dissemination |
