Minor in Data Science

Current students (joined from 2018 to 2021) can choose from the two programs (new/old), students joining JI from 2022 will use the new program requirement.

Old Plan 

JI offers a minor in Data Science to provide students with a basic understanding in those aspects of computer science, statistics, and mathematics that are relevant for analyzing and manipulating large complex datasets. A minimum of 15 credits of courses are required for this minor, including:

Core (required) Courses (8 credits)

  • Ve401(ECE4010J) Probabilistic Method in Engineering (4 credits)
  • Ve406(STAT4130J) Applied Regression Analysis using R (4 credits), or Ve414(STAT4510J) Bayesian Data Analysis (4 credits), or STAT4060J Computational Methods for Statistics and Data Science (4 credits)
  • ECE4710J Introduction to Data Science (4 credits)

Elective Courses: at least two out of

  • Ve406(STAT4130J) Applied Regression Analysis using R (4 credits, if not used as a core course)
  • Ve414(STAT4510J) Bayesian Data Analysis (4 credits, if not used as a core course)
  • STAT4060J Computational Methods for Statistics and Data Science (4 credits, if not used as a core course)
  • ECE4710J Introduction to Data Science (4 credits, if not used as a core course)
  • Ve445(ECE4450J) Introduction to Machine Learning (4 credits)
  • Ve484(ECE4760J) Data Mining (4 credits)
  • Ve485 Optimization in Machine Learning (3 credits)
  • Ve488(ECE4761J) Data Mining and Machine Learning (4 credits)
  • Ve492(ECE4920J) Introduction to Artificial Intelligence (4 credits)
  • Ve501(ECE6601J) Probability and Random Processes (4 credits for undergraduate students)
  • Ve472 (ECE4720J/ECE4721J)/ Ve572 (ECE6701J) Methods and Tools for Big Data (3 credits, or 4 creditd for ECE4721J)
  • Ve581(ECE6901J) Convolutional Neural Networks for Visual Recognition (3 credits)
  • Ve593(ECE6702J) Problem solving with AI techniques (3 credits)
  • Vm466(IE4660J) Statistical Quality Control (3 credits)
  • Vv409 Models and Methods for Financial Data (3 credits)
  • Ve407 Introduction to Statistical Learning (4 credits)
  • STAT1000J Data Science for Future Engineers (3 credits)
  • ECE4880J Computer Vision (4 credits)
  • ECE4530J Decision Making in Smart Cities (4 credits)
  • VG441(ENGR4410J) Supply Chain Management (3 credits)

More courses may be added to this list with prior approval.

Eligibility:

– Sophomore standing and above
– Having declared a major
– In good academic standing

If planned well in advance of the senior year, the program should not add to the credits required for a bachelor’s degree at JI. A student should receive a grade of C or better for all the courses required for the minor. The Minor in Data Science should be declared before graduation. Transfer credits are acceptable for the Elective courses. No credits may be used to satisfy the requirements of more than one minor. No credits may be double counted for a minor and an undergraduate research certificate.

 

New Plan 

JI offers a minor in Data Science to provide students with a basic understanding in those aspects of computer science, statistics, and mathematics that are relevant for analyzing and manipulating large complex datasets. A minimum of 15 credits of courses are required for this minor, including:

Core (required) Courses (8 credits)

  • Ve401(ECE4010J) Probabilistic Method in Engineering (4 credits)
  • ECE4710J Introduction to Data Science (4 credits)

Elective Courses: at least one out of each category:

Theory and computation:

  • STAT4060J Computational Methods for Statistics and Data Science (4 credits)
  • Ve414(STAT4510J) Bayesian Data Analysis (4 credits)
  • Ve445(ECE4450J) Introduction to Machine Learning (4 credits)
  • Ve484(ECE4760J) Data Mining (4 credits)
  • Ve485 Optimization in Machine Learning (3 credits) 
  • Ve488(ECE4761J) Data Mining and Machine Learning (4 credits)

Application:

  • Ve472(ECE4720J/ECE4721J)/ Ve572 (ECE6701J) Methods and Tools for Big Data (3 credits, or 4 creditd for ECE4721J)
  • Ve593(ECE6702J) Problem solving with AI techniques (3 credits)
  • ECE4880J Computer Vision (4 credits)
  • ECE4530J Decision Making in Smart Cities (4 credits)
  • VG441(ENGR4410J) Supply Chain Management (3 credits)

Eligibility:

– Sophomore standing and above
– Having declared a major
– In good academic standing

If planned well in advance of the senior year, the program should not add to the credits required for a bachelor’s degree at JI. A student should receive a grade of C or better for all the courses required for the minor. The Minor in Data Science should be declared before graduation. Transfer credits are acceptable for the Elective courses. No credits may be used to satisfy the requirements of more than one minor. No credits may be double counted for a minor and an undergraduate research certificate.

 

 

Note:

Further courses can be approved by DS committee.

Current students (joined from 2018 to 2021) can choose from the two programs (new/current)

Students joining JI from 2022 will use the new program requirement.