M.Tech. (Computational and Data Science)
Get all the information you need about the M.Tech. (Computational and Data Science) course structure, duration, core courses, soft core courses, dissertation, and electives.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. Download presentation by click this link. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
E N D
Presentation Transcript
M.Tech. (Computational and Data Science) Student Orientation https://cds.iisc.ac.in/admissions/orientation/ Updated on: July 29, 2023
M.Tech. (CDS) Course Structure Duration: 24 Months (Aug 20xx - June 20xx+2) (Ex: xx=20) Hard Core: 14 credits Courses: 13 credits Research Methods: 1 credit (soft skills course) Soft Core: 10 credits minimum (atleast three courses) Dissertation: 28 credits (from May 20xx June 20xx+1) Electives: 12 credits (Students may credit CDS electives/soft core or other department courses) Total: 64 credits (31 Credits for the First Year is Mandatory)
M.Tech. (CDS) Course Structure Hard Core: 14 credits Courses: 13 credits DS 221 AUG 3:1 Introduction to Scalable Systems (SV/YS) DS 284 AUG 2:1 Numerical Linear Algebra (PM) DS 288 AUG 3:0 Numerical Methods (RB) DS 215 JAN 3:0 Introduction to Data Science (AC) Research Methods: 1 credit (soft skills course) DS 200 AUG 0:1 Research Methods (to be taken in the AUG term of Second year) 3
M.Tech. (CDS) Course Structure Soft Core: 10 credits minimum (at least three courses) DS 201 AUG 2:0 Bioinformatics (KS/DP) DS 211 AUG 3:0 Numerical Optimization (DS) DS 290 AUG 3:0 Modelling and Simulation (SR) E0 261 AUG 3:1 Database Management Systems (JH) DS 202 JAN 2:1 Algorithmic Foundations of Big Data Biology (CJ) DS 207 JAN 3:1 Introduction to Natural Language Processing (DP) DS 256 JAN 3:1 Scalable Systems for Data Science (YS) DS 289 JAN 3:1 Numerical Solution of Differential Equations (AK) DS 295 JAN 3:1 Parallel Programming (SV) DS 216 JAN 3:0 Machine learning for Data Science (VS) DS 298 JAN 3:1 Random Variates in Computation (MV) 4
M.Tech. (CDS) Course Structure Dissertation DS 299: 28 credits (from May 2024 June 2025) After 2 semesters Important part of program Close to 14 months (Mini Ph.D.) Comprehensive experience on applying computational and data sciences techniques Summer: 4 Credits Next 2 semesters: 8+16 credits 5
M.Tech. (CDS) Course Structure Electives: Rest (64 (14+softcore three course credits + dissertation 28 credits)) credits (Students may credit CDS electives/soft core or other department courses) CDS Electives: DS 261 (AUG) 3:1 Artificial Intelligence for Medical Image Analysis (VS) DS 255 (JAN) 3:1 System Virtualization (JL) DS 265 (JAN) 3:1 Deep Learning for Computer Vision (RVB/AC) DS 269 (JAN) 2:1 Computational Methods for Reacting Flows (AK) DS 392 (JAN) 3:1 Environmental Data Analytics (DS) DS 393 (JAN) 3:1 High Performance Computing for Quantum Modeling of Materials (PM) DS 285 (JAN) 3:1 Tensor Computations for Data Science (RB)
M.Tech. (CDS) Typical Course Plan First Semester (AUG 2023 - DEC 2023) DS 221 AUG 3:1 Introduction to Scalable Systems (SV/YS) DS 215 JAN 3:0 Introduction to Data Science (AC) DS 284 AUG 2:1 Numerical Linear Algebra (PM) DS 288 AUG 3:0 Numerical Methods (RB) Soft core or Electives DS 201 AUG 2:0 Bioinformatics (KS/DP) DS 211 AUG 3:0 Numerical Optimization (DS) DS 261 AUG 3:1 Artificial Intelligence for Medical Image Analysis (VS) DS 290 AUG 3:0 Modelling and Simulation (SR) Total: MAX 18 credits (Minimum of 31 credits are to be completed in the first year) 7
M.Tech. (CDS) Typical Course Plan Second Semester (Jan - June 2024) Soft Core Courses (minimum 2 courses) Ex: DS 202 JAN 2:1 Algorithmic Foundations of Big Data Biology (CJ) DS 289 JAN 3:1 Numerical Solution of Differential Equations (AK) OR DS 294 JAN 3:0 Machine Learning for Data Science (VS) DS 295 JAN 3:1 Parallel Programming (SV) Minimum One elective/softcore course Ex: DS 255 (JAN) 3:1 System Virtualization (JL) Total: 16 credits (Minimum of 31 credits are suggested to be completed in the first year.) 8
M.Tech. (CDS) Typical Course Plan Dissertation: 28 credits (from May 2024 June 2025) Third semester (AUG - Dec 2024) DS 200 AUG 0:1 Research Methods (DP) Rest credits (soft core/electives) in terms of courses (Not more than one course) Ex: DS 211 AUG 3:0 Numerical Optimization (DS) DS 290 AUG 3:0 Modelling and Simulation (SR) Fourth semester (Jan - June 2025) Register for DS 299: Dissertation Dissertation DS 299 Total: 64 credits 9
M.Tech. (CDS) Dissertation Evaluation - For the 2023 Batch Dissertation: 28 credits (from May 2024 June 2025) 4 Credits during summer (May - July, 2024) Evaluation in Aug-Sep 2024 (IMPORTANT: PRIVATE FELLOWSHIP HOLDERS SCHOLARSHIP TO BE RESCINDED IN CASE OF POOR PERFORMANCE) 8 Credits during third semester (Aug Dec, 2024) Evaluation in Jan 2024 16 Credits during fourth semester (Jan - June, 2025) Evaluation and Final reports due in June 2025 15 days time for Thesis Evaluation 30 min thesis defense 10
M.Tech. (CDS) Dissertation Advisor Option to choose a Dissertation Advisor will be available at the end of the first semester. A list of projects from the interested faculty will be available for perusal based on which you can decide which faculty to approach at that time. Finalize your advisor mapping by Jan 15, 2024. Once you have selected your advisor, you will not be allowed to shift to another faculty, except of exceptional reasons. Each Advisor is not allowed to advise more than 3 M.Tech. (CDS) students. The student, along with the dissertation advisor, will coordinate the dates with the allotted two examiners for project reviews and conduct the summer term (4 credit), mid- term (8 credit) and final evaluations/presentations (16 credit) at a mutually convenient time before a cut-off date set by DCC. DCC recommends the following deadlines for finishing evaluations Summer Term: Sept 15, 2024; Mid Term: Jan 15, 2025; Final Evaluation: June 10th, 2025 (Thesis Submission Deadline: June 20th, 2025)
Private Fellowships By application in August: Sony Women in Engineering M.Tech. Fellowship (For girl students only; To be awarded by the end of August by the Dean of Engineering; No. of Fellowships - 1) Wells-Fargo Women in Engineering M.Tech. (Research)/M.Tech. Fellowship (For girl students only; To be awarded by the end of August by the Department; No. of Fellowships - 2) Citrix Women M. Tech Fellowship; No of Fellowship - 1 .. More fellowships coming, keep an eye Instituted under funding from Corporate Social Responsibility - no requirement of industrial internship and/or other commitments, and student free to choose any advisor By nomination (Prof. Yalavarthy) at the end of second semester GE Healthcare M.Tech. Fellowship (No. of Fellowships - 1) Siemens Healthineers M.Tech. Fellowship (No. of Fellowships - 1) All scholarships provide Rs. 25,000/- as fellowship for the awarded students and have contingency amount for the students to purchase a laptop For updated information please follow: http://cds.iisc.ac.in/resources/fellowships/ Once you choose a private fellowship, you cannot revert to MOE fellowship. But your fellowship amount could be downgraded if your performance is poor.
First Year M.Tech. Student Lab Guidelines Student Lab keys will be available with security (lobby of the building). The security is available 24X7 and 365 days. Those who come first can get it issued and those who leave the last can return the keys to security. There are limited number of machines available in the student lab. It is advisable that you have your own machine (laptop). Your tenure at First year M.Tech. student lab is from Aug 1 - Dec 31 (4 months). Beyond which, your seating place will be in your dissertation advisor lab. The student lab will remain closed between Jan 1 to June 30. Maintain professionalism to keep the student lab neat and clean. Anybody found misusing it, will be barred from using the student lab and appropriate action will be taken by the DCC and Chair.
Course Registration http://sap.iisc.ac.in (IISc Network Only) Class Schedule: https://indianinstituteofscience.sharepoint.com/CDS https://cds.iisc.ac.in/courses/schedule/ RTP: Research Training Program (Credits that are counted towards your qualifying criteria for studentship) Qualifying Criteria: Fulfill required minimum credits for your program and maintain minimum CGPA on these minimum credits Minimum credits: 64 Minimum CGPA: 5.5
