Scientific Computing, Modeling & Simulation
Savitribai Phule Pune University

Academic Programmes


SCMS OpenCourseWare

Wish to build on your native domain background in engineering or science?

Wish to add analytical expertise to your computer science / software engineering background?

Wish to branch out into modern multi-disciplinary areas and enterprises which heavily rely on mathematics, statistics, and computing?

Interested in machine learning, artificial intelligence, data science, analytics, computational finance, OR, CFD, DSP/DIP, complex networks, computational science, computational engineering?

Wish to pursue computational research?

Have passion for any proper subset of {computing, applied mathematics, applied statistics, mathematical/computational problem-solving, mathematical modeling}?


MTech programme in modeling & simulation
MSc programme in Scientific Computing
PhD programme in Scientific Computing
Short-duration internships
Credit courses for campus students


MTech programme in modeling & simulation

What is it?

A unique rigorous multidisciplinary broad-based 2-year programme in foundations of mathematical modeling, computation & simulation. Consists of core & elective courses and a full-semester internship.

Current curriculum (subject to change without notice)

Alumni profiles & placement

What alumni say about this programme

Eligibility

BE/BTech (any branch of engineering) OR MSc with valid GATE score

Students who do not have adequate background in mathematics (e.g., those admitted directly into the second year of BE/BTech through the Diploma route) are likely to find this programme difficult to cope with.

Selection

Via entrance test with the following structure:

To apply

OneCampus application portal

More information

  • For additional information about the programme, please write to coordinator AT scms.unipune.ac.in.
  • For admissions-related information, visit OneCampus application portal.

MSc programme in scientific computing

What is it?

Visit the ISSC page for details

Current curriculum (subject to change without notice)

Alumni profiles & placement

Visit the ISSC page for details

Eligibility

Visit the ISSC page for details

Selection

Via entrance test with the following structure:

To apply

OneCampus application portal

More information

PhD programme in scientific computing

What is it?

A broad-based PhD research programme covering computational science, computational engineering, scientific computing, etc.

Eligibility

Any Master of Science degree, or equivalent

To apply

Admissions to PhD programmes take place as per policies and procedures of the University.

PhD programmes in other disciplines

Some of the Department's faculty are recognized PhD guides in other disciplines such as Physics. Please write to individual faculty if interested.

Short-duration internships

Short-duration (up to a year) nonpaid internships may be available with individual faculty at the Department.

To apply

Please write to individual faculty indicating your interest. Please include
  • your resume,
  • a brief statement of purpose/interest, and
  • proposed duration/dates of internship.
with your email.

Credit courses for campus students

Many of the courses from the Department's academic programmes mentioned above are open to registered post-graduate students of Savitribai Phule Pune University campus departments under the University's choice-based credit system.

Timeline

  • Semesters 1 and 3: Mid-July (date may vary from year to year).
  • Semesters 2 and 4: First Monday of January.
  • Commencement dates for individual courses may vary.
  • Please be sure to contact the Department well ahead in time!

Enrollment

  • Write to coordinator AT scms.unipune.ac.in, indicating (a) the course/s that you are interested in, and (b) your background relevant to the course/s that you are interested in.
  • You may need to undergo a test or an informal interview/counselling session to assess your background in the light of any pre-requisites for courses of your interest.
  • Enrollment will generally be on a first-come-first-served basis conditional upon this test/interview/councelling session.
  • The number of such seats is limited by the available infrastructure at the Department, especially for courses with a substantial hands-on computing component.
  • The Department may not be able to accomodate you in a course that has already begun.
  • Students wishing to enroll in our course/s need formal approval from
    • their parent Department/School/Centre,
    • the course instructor/teacher at this Department, and
    • this Department.
  • Fees will be charged as per University's prevailing norms/policies.
  • Decision authority on all credit-course matters is the Departmental Committee.


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