Mehta Family School of
Data Science & Artificial Intelligence

The MTech Data Science program at IIT Palakkad is designed to equip students with a robust understanding of data science principles, advanced analytical techniques, and practical problem-solving skills. The curriculum integrates core areas such as machine learning, deep learning, and big data fostering both theoretical knowledge and hands-on experience through a year-long project. The program also encourages interdisciplinary applications of data science, preparing graduates for diverse data science related roles in industry and academia.

---

The MTech Data Science curriculum adheres to the revised institute MTech program regulations, the overall structure of the curriculum is outlined in the following table.

Category	Credits
Program Major Core (PMC)	17
Program Major Elective (PME)	9
Open Electives (OE) / Humanities and Social Sciences Electives (HSE)	6
Project	20
Institute Core	4
Total Credits	56

---

The competencies for the MTech Data Science program are developed through a range of core and elective courses. The core courses are

• Mathematics for Data Science
• Data Engineering
• Big Data Lab
• Machine Learning
• Deep Learning

The program major elective courses in the curriculum include a wide range of specialized topics, allowing students to pursue in-depth knowledge in areas that align with their interests and career aspirations. These electives encompass courses such as Signal Processing for Data Science, AI of Things, Applied Accelerated AI, Big Data Lab, Information Theory and Statistics, Reinforcement Learning, Probabilistic Machine Learning, Computer Vision, AI for Cybersecurity, Econometrics, Natural Language Processing, Information Retrieval, Foundations of Data Science and Machine Learning, Bioinformatics, and Responsible AI. This extensive selection empowers students to gain advanced competencies in cutting-edge domains within data science.

The following is a suggested semester-wise course plan to guide the students. The detailed syllabi of the courses offered by school can be found here

Sl No.	Semester	Course Code	Course Name	Category	Credits
1	I	DS5004	Mathematics for Data Science	Program Major Core	3-0-0-3
2		DS5003A	Data Engineering	Program Major Core	1-0-3-3
3		DS5006	Machine Learning	Institute Core	3-0-2-4
4			Elective 1	Open/Humanities and Social Sciences Elective	3
5			Communication Skill	Institute Core	1
6			Writing Skill	Institute Core	1
			Total Semester Credits		15
Sl No.	Semester	Course Code	Course Name	Category	Credits
1	II	DS5102	Big Data Lab	Program Major Core	1-0-3-3
2		DS5007	Deep Learning	Program Major Core	3-0-2-4
3			PME 1	Program Major Elective	3
4			PME 2	Program Major Elective	3
5			Elective 2	Open/Humanities and Social Sciences Elective	3
6			Research Methdology	Institute Core	2
			Total Semester Credits		18
Sl No.	Semester	Course Code	Course Name	Category	Credits
1	III		PME 3	Program Major Elective	3
2		DS5110	Project Phase I	Project	10
			Total Semester Credits		13
Sl No.	Semester	Course Code	Course Name	Category	Credits
1	IV	DS5120	Project Phase II	Project	10
			Total Semester Credits		10
			Total Credits		56