The University of Massachusetts Amherst

Sample M.S. Degree Completion Plan

Regular availability of DACSS core and technical courses - and the wide range of available DACSS substantive courses - allows you to pursue a degree on a flexible schedule. The in-person degree can be finished by a full-time student in as little as one year on a fast track plan with the last 3 months (mid-May through mid-August) compatible with full-time work, while an online student might take 2 to 3 years to complete the degree taking at least two classes each year.

Some of the possible course plans for degree completion are illustrated below. We strongly encourage students without a PhD-level fluency in a particular research literature take a substantive elective alongside the core Research Design course. 

When planning your schedule please be aware:

  • The Graduate School defines full-time graduate student status as enrollment for nine (9) or more credits; part-time graduate student status is defined as eight (8) or fewer credits.
  • For financial aid and loan deferment purposes, half-time is defined as six (6) credits in a semester.
  • Immigration law requires that international students be enrolled at full-time status (i.e.e, for 9 or more credits) during the Fall and Spring semesters.

Connect with a program specialist to learn more

 

Fast Track
(One Year)

 

Standard Plan
 
Extended Plan
 
Part-time
(Online only)
Summer I
  • Data Science Fundamentals
  • (Optional Internship)
  • Data Science Fundamentals
  • (Optional Internship)
  • Data Science Fundamentals
  • (Optional Internship)
  • Data Science Fundamentals
Fall I
  • Research Design
  • Intro Quant Analysis
  • 1 Sub Elective
  • 1 Tech Elective
  • Research Design
  • Intro Quant Analysis
  • 1 Sub Elective
  • Research Design
  • 1 Sub Elective
  • Research Design
  • 1 Sub Elective - (recommended)
Spring I
  • 2 Tech Electives
  • 2 Sub/Tech Electives
  • 2 Tech Electives
  • 1 Sub/Tech Elective
  • Intro Quant Analysis
  • 1 Tech Elective
  • Intro Quant Analysis
Summer II
  • Data Storytelling
  • (Optional Research or Internship)
  • (Optional Research or Internship)
  • (Optional Research or Internship)
  • 1 Tech Elective
Fall II 
  • Data Storytelling
  • 1 Tech Elective
  • 1 Sub/Tech Elective
  • Data Storytelling
  • 1 Tech Elective
  • 1 Sub/Tech Elective
  • 1 Sub/Tech Elective
Spring II  
  • 1 Technical Elective
  • 1 Sub/Tech Elective
  • 1 Tech Elective
Summer III   
  • Data Storytelling
Additional
Terms
   
  • 1 Tech Elective
  • 1 Sub/Tech Elective

NOTE: Research and internship opportunities may be paid or may be unpaid, and are not guaranteed to be provided by the DACSS program.