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Master of Science in Information Management

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MSIM Early-Career Track

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 At a glance

  • Credits to graduate: 65
  • Curriculum: 4 core courses, up to 2 specializations, industry-sponsored Capstone project
  • Learning format: Residential or online
  • Time to degree: As few as 6 terms if enrolled full time

Gain broad exposure across the field of information management to support a range of career paths through foundational skills, hands-on experiences and up to two specializations. 

Who this track is for

The Early-Career track is ideal for recent graduates, career changers or early professionals looking to build a strong foundation in information management. Students in this track typically aim to:

  • Gain information management and leadership skills through project-based learning culminating in an industry-sponsored Capstone project
  • Explore multiple specialization areas and learning opportunities through elective coursework to customize the depth and breadth of skill attainment 
  • Prepare for future leadership or strategic roles

Structure and requirements

This 65-credit track provides a comprehensive foundation in information management while offering significant flexibility to tailor learning to your goals. Key elements include:

  • Core courses: Four foundational courses in essential information management skills
  • Specializations: Option to choose up to two specializations or customize with electives; the majority of your credits are allocated to electives, offering you an unparalleled opportunity to customize your degree to your goals and interests
  • Applied experiences: One or more internships or applied experiences, plus an industry-sponsored Capstone synthesizing skills and demonstrating impact to potential employers

Typical pathway through the program

Students start with core courses, then integrate specializations and applied experiences, culminating in the Capstone. Full-time students can complete the program in as few as six terms. Online students have flexibility to study part-time.

Typical residential schedule

QuarterFirst-year coursesSecond-year courses
AutumnIMT 500 (4)
IMT 580 (4)
Specialization #1 (4)
Capstone 1 (1)
Specialization #2 (4)
Elective(s) (4)
WinterIMT 550 (4)
Elective (4)
Specialization #1 (4)
Capstone 2 (2)
Specialization #2 (4)
Elective (4)
SpringIMT 570 (4)
Elective (4)
Specialization #1 (4)
Capstone 3 (2)
Specialization #2 (4)
Elective (3)
SummerOptional quarter with limited elective course offeringsN/A (students will graduate by the end of spring term)

Career direction and outcomes

Graduates of the Early-Career track are prepared for early- to mid-level positions across a variety of industries, including:

  • AI/machine learning researcher
  • Business analyst
  • Data analyst
  • Information architect
  • Management consultant
  • Product manager
  • Project manager
  • Solutions engineer

Specializations

Students may choose up to two areas of specialization, deepening expertise in areas including Artificial Intelligence, Business Intelligence, Data Science, Information Architecture, Program/Product Management & Consulting, and User Experience.

In addition to completing up to two formal specializations, students may take courses across different specialization areas, allowing for a more customized and interdisciplinary learning experience. 

Request program information

Our enrollment coaches can help you determine which track is right for you and guide you through the application and enrollment process. Schedule a meeting with an admissions advisor or fill out this form if you'd like more information.

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News

Melanie Walsh in a library

'Dynamic combination': Course bridges data science, librarianship

Wednesday, June 24, 2026
Information School Assistant Professor Melanie Walsh describes the bridge between librarianship and information science as a “dynamic combination.” Through the Master of Library and Information Science course LIS 572:...
Read more

Professor's new book weighs costs, benefits of AI

Monday, June 15, 2026
Information School Professor Chirag Shah recently published “Agent Nation,” a book concerning how autonomous AI is affecting society — and what we, as individuals, can do about it. As artificial intelligence has been...
Read more

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