Master of Science in Data Science

Admission Requirements 

  • Baccalaureate degree from a regionally accredited institution
  • 3.0 grade point average. Applicants with a GPA of less than 3.0 may be considered for provisional admission.
  • UW System application form (apply.wisconsin.edu)
  • $56.00 application fee
  • Prerequisite courses: Recent coursework in elementary statistics, introductory computer programming and introduction to databases. Relevant work experience can be considered in lieu of this coursework. Contact the Chair of the MS in Data Science Program for details.
  • Official transcripts from colleges and universities previously attended*
    • Official transcripts from colleges and universities previously attended
    •  If you attended less than 9 credits you do not have to send an official transcript unless the courses completed were pre-requisites for the program. Study abroad transcripts are not required if a student attended an international University for one or fewer semesters. The University of Wisconsin-Green Bay retains the right to request additional official transcripts from all/or additional postsecondary institutions of higher learning attended by an applicant.
  • A personal statement of up to 1,000 words describing the reasons behind your decision to pursue this degree and what you believe you will bring to the data science field. Space for the personal statement is included in the online application.
  • Resume
  • Two letters of evaluation**
  • MSDS Questionnaire: Applicants must complete this questionnaire
  • International students will also need to provide the following documentation:
    • A test of English proficiency (TOEFL or IELTS)
    • Course-by-course transcript evaluation from a professional evaluation service currently recognized by NACES (www.naces.org).          UW-Green Bay recommends one of the following evaluation services:
      • Educational Credential Evaluators (ECE)
      • World Education Services (WES)
    • Please note that this program is entirely online. International students are welcome to apply for and enroll in an online program. However, they are unable to apply for an F-1 or J-1 visa based on enrollment in this program. 

*Official electronic transcripts must be sent to UWGB Admissions at uwgb@uwgb.edu directly from the institution that issued the transcript.

**The Data Science letter of evaluation is an electronic form the applicant initiates and sends to two references. The references must complete the form and email directly to the Office of Graduate Studies: gradstu@uwgb.edu. Information on this process will be provided to the applicant after the UW System application has been received. Traditional letters of recommendation are not required.

Degree Requirements  

Core Curriculum
DS 700Foundations of Data Science3
DS 705Statistical Methods3
DS 710Programming for Data Science3
DS 715Data Warehousing3
DS 730Big Data: High-Performance Computing3
DS 735Communicating About Data3
DS 740Data Mining3
DS 745Visualization and Unstructured Data Analysis3
DS 760Ethics of Data Science3
DS 776Deep Learning3
DS 780Data Science and Strategic Decision Making3
DS 785Capstone3
Total Credits36

Progress to Degree 

  1. The candidate applies to the Master of Science in Data Science program by submitting the appropriate application materials. 
  2. The candidate is admitted to the Master of Science in Data Science program by the University of Wisconsin-Green Bay program Chair.
  3. The student fulfills the degree requirements for the program.
  4. The student is awarded a Master of Science in Data Science degree from the University of Wisconsin-Green Bay.

Faculty 

Choi, Joe, Assistant Professor, Data Science Program. MS. Syracuse University; Ph.D. University of Colorado.

Fields of Interest: data science and analytics, economics of information systems, business analytics, and self-driving vehicles. 

Kumar, Sampath, Professor. Marketing Department. Data Science Program. BS. (1993) Bharathiar University, India; MBA. (1996) Bharathiar University, India; Ph.D. (2008) University of Memphis; M.Phil. (2011) Alagappa University. 

Fields of Interest: e-services, nonprofit marketing, sustainability, supply chain management and advertising.

Praneet Tiwari, MS, Lecturer. Data Science Program. MS. University of Northern Texas.

Fields of Interest: data science, information technology, cybersecurity.