Click on'Request more info' to know more about the programme.
Offered by Indian Institute of Technology Guwahati.
Pay per credit. Flexible payment options.
299 credits. 18-20 hours of student effort per week.
Hands-on learning from anywhere. Online classes & examinations. Optional campus immersions.
Gain practical experience with internships and capstone projects.
The B.Sc. (Honours) in Data Science and AI degree comprises a total of 299 credits, which includes fundamental and industry-oriented courses, an industry internship or term project, and a capstone project.
The mandatory capstone project spans three trimesters in the final year.
The credit load per trimester ranges from a minimum of 0 to a maximum of 40 credits.
The curriculum structure and subjects can be found here.
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This 4-year bachelor’s programme follows a trimester-based system and offers you the flexibility to complete the programme in up to 8 years, if needed.
Each term includes a minimum of 12 weeks of instruction.
Terms are separated by approximately 2 weeks.
Each trimester features 4 courses, with the exception of the final year’s trimesters.
Expect to dedicate an average of 18-20 hours per week to this programme.
You can choose the early exit option at the end of each year:
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Although the programme’s entry point is the same for all students, you may choose to exit at different stages by earning the corresponding certificate upon successful completion of the required coursework.
Rejoin when you’re ready: Students who exit the programme after completing a Certificate, Diploma, or B.Sc can rejoin at the appropriate stage after a one-year gap.
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The degree’s course structure is tailored to accommodate busy professionals or students pursuing two degrees simultaneously.
Each course, excluding the capstone project, spans 12 weeks and the programme requires about 18-20 hours of student effort per week.
Dive into 36 hours of learning with engaging videos, insightful case studies, hands-on projects and live lectures by renowned faculty and industry experts.
Enhance your analytical and problem-solving skills through interactive group discussions, industry case studies, and group assignments.
Options for campus visits and internships will also be available.
Continuous Assessments throughout the trimester will consist of practice assignments, graded assignments, quizzes and term projects.
Degree courses will have lectures from accomplished industry professionals helping you develop a well-rounded outlook of the Data Science and Artificial Intelligence industry.
You will also get invited to exclusive virtual sessions- The ChAI talk series featuring eminent international researchers and professionals from the fields of Data Science & AI. These sessions are organized by the Mehta Family School of Data Science & Artificial Intelligence of IIT Guwahati.
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This online degree programme offers a wide range of beginner and advanced courses, covering both foundational and advanced topics in Data Science and Artificial Intelligence. You will have the opportunity to specialise in cutting-edge subjects while staying informed about the latest developments. Develop proficiency in handling and manipulating large datasets with core courses on Data Modelling and Visualization, Data Mining and Warehousing, Deep Learning Essentials, and Big Data Analytics. You will also be able to apply your theoretical expertise to capstone and term projects to gain practical exposure.
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Internships can be completed in online or offline mode, while projects will be online only. Students may visit the campus during project or internship work.
Internships or Projects can be done in collaboration with tech companies or corporates.
Internships can begin from the third year onwards, after completing courses up to the 6th trimester.
Internships/term projects have a total of 18 credits. Students must complete these 18 credits in the form of internships or term projects in three parts, worth 6 credits each.
Projects and internships can be pursued alongside regular trimester courses.
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Gain hands-on experience with real-world projects, such as building NLP models, developing product recommendation systems, and designing machine translation solutions, which prepare you for diverse career paths. Enhance your data science expertise while collaborating with peers and researchers on innovative data analysis and statistics projects.
Capstone projects can begin only in the fourth year, after completing all courses up to the 9th trimester.
The total credits for capstone projects is 36 and students can undertake a single project or multiple small projects
Both internships/term projects and capstone projects are mandatory for a B.Sc. (Hons.) degree
Supplementary examination: No supplementary examinations will be provided. Candidates who fail a course will need to register for the course again and participate in the continuous assessments OR register only for the continuous assessments in that particular course, with optional attendance for the online classes and live sessions.
Applications for September 2024 batch are now closed. Classes will start on September 2, 2024.
Please note: Application fee of INR 500 will be chargable to all applicants.
If you have questions, please email us at admissions_bsc_dsai@iitg.ac.in
Interested in getting started, but not yet ready to commit? Try Programming with Generative AI that is part of this degree. Start making progress towards this degree. Upon successful completion of these certificates, you can transfer your progress once you’re accepted to the programme.
Applications for September 2024 batch are now closed. Classes will start on September 2, 2024.
Please note: Application fee of INR 500 will be chargable to all applicants.
If you have questions, please email us at admissions_bsc_dsai@iitg.ac.in
Interested in getting started, but not yet ready to commit? Try Programming with Generative AI that is part of this degree. Start making progress towards this degree. Upon successful completion of these certificates, you can transfer your progress once you’re accepted to the programme.
These graduate certificates stack directly into the Master of Science in Accountancy (iMSA). Each of the high engagement courses that comprise these certificates carry University of Illinois at Urbana-Champaign graduate credit.
Graduate Certificate in Accounting Data Analytics : Learn how to synthesize and communicate data-intensive information, findings and conclusions, and develop the job-ready skills to solve accounting and business challenges.
Learn more about this certificate
CPA Pathways Graduate Certificate: Build technical knowledge and skills in financial accounting, taxation, and accounting data analytics as you prepare for the Uniform CPA Examination®.
Learn more about this certificate
Accounting Foundations Graduate Certificate: Develop job-ready skills with the top accounting faculty in the nation in as little as eight months.
This course highlights the conceptual framework and financial statements. It also provides in-depth analysis of accounting issues related to the measurement, recognition and disclosure of current and non-current assets, and revenue recognition.
Students who have previously completed any of the required courses will take a suitable replacement course approved by a program advisor.
This course will cover the measurement and reporting of a firm's liabilities and shareholders' equity. Topics include contingencies, subsequent events, bonds, leases, deferred taxes, pensions, equity transactions, and earning per share.
Students who have previously completed any of the required courses will take a suitable replacement course approved by a program advisor.
Introduction to management accounting principles, as used to facilitate and align internal decisions made by managers and employees. Topics include analytical tools and techniques to address common business problems, cost information systems, budgeting, and strategic performance measurement systems.
Students who have previously completed any of the required courses will take a suitable replacement course approved by a program advisor.
Introduction to conceptual and applied material in the field of auditing. Emphasizes the audit process, reporting, and professional responsibilities.
Students who have previously completed any of the required courses will take a suitable replacement course approved by a program advisor.
Introduction to historical and conceptual as well as applied material in the accounting area of federal taxation; emphasizes the provisions of the tax law relevant to accounting measurement methods.
Students who have previously completed any of the required courses will take a suitable replacement course approved by a program advisor.
Students in the iMSA program will be able to choose from a list of electives to fulfill their degree requirements. Some electives include:
Concentrations:
Specializations or Emphasis Areas:
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