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Data Science


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Bennion
Center

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Capstones
Program

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Learning Abroad

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Office of
Undergraduate Research

Courses

Getting Started

  • Meet with your advisor
  • Start with a pre-major course: CS 1400 or CS 1420
  • Enroll in the right math course for you (ask advisor if unsure)
  • Begin GE courses (spread these out)

Making Progress

Meet with your advisor often to:

  • Discuss your progress
  • Learn about course options for DS electives
  • Create a path to graduation that works best for you

Keep track of degree requirements:

  • Check your progress using DARs, flowcharts, or a degree requirements sheet (ask your advisor to personalize one for you!)
  • Plan to take 2-3 CS, DS, or Math courses each semester
  • Consider adding a minor or certificate to enhance your degree

Finishing Up

  • Enroll in senior capstone courses (project or thesis)
  • Finish remaining GEs & degree requirements
  • Check your degree audit & meet with your advisor to confirm graduation

Community

Getting Started

Making Progress

Finishing Up

  • Network with your fellow classmates & professors
  • Take on a leadership role in a student-led club or organization
  • Get involved with the Alumni Association and Forever Utah

Knowledge & Skills

Getting Started

Making Progress

Finishing Up

  • Take electives that pique your interest & prepare you for your desired career path
  • Collaborate with your team to complete your senior capstone
  • Present at the Undergraduate Research Symposium

Transformation

Getting Started

Making Progress

Finishing Up

  • Showcase your skills acquired in the DS program through your capstone project
  • Reflect on what you've learned in the program & extracurricular experiences
  • Participate in graduation events

Impact

Getting Started

Making Progress

Finishing Up

  • Present research at a local, national, or global conference
  • Prepare to develop your capstone project into a business venture or research project

Careers

Getting Started

Making Progress

  • Update your resume and cover letter regularly to reflect your skills and experience
  • Seek out an internship and/or undergraduate research opportunity
  • Check out internships & jobs posted to COE's Jobs Board
  • Attend Pathways or the STEM Career Fair in the fall
  • Job shadow or conduct informational interviews with alumni & professionals in your field of interest

Finishing Up

  • Meet with a career coach to create a job search plan, do a mock interview, & polish your resume
  • Participate in career fairs & expos
  • Apply for jobs or graduate programs

Start Your Career Journey


Find support at the Career and Professional Development Center (CPDC)

Visit cpdc

 

About the Major

Data Science is an emerging field that focuses on managing and making sense of data to solve important challenges in science, engineering, and society. Data scientists rely on technical skills from computing and mathematical modeling and are able to choose among these techniques, interpret them, and connect them with data domains. In the Data Science major at the U, you study basic computer science and software engineering and learn to build, modify, or use software tools for data analysis. You take foundational courses in data processing (programming, data wrangling, and data management) as well as data analysis (machine learning, data mining, and visual analytics) so you are able to effectively, efficiently, and ethically make decisions based on information within various data sources. You will apply your knowledge and skills in your final year and collaborate with a team to complete a senior capstone project. The School of Computing offers opportunities to engage in undergraduate research, gain internship experience, and make connections through the Data Science Club, Utah Center for Inclusive Computing, and Utah Center for Data Science. As one of the first comprehensive Data Science bachelor degree programs to be offered in the Mountain West, the University of Utah’s Data Science program prepares you to fill a growing demand for data scientists across a variety of industries including healthcare, finance, government, and the telecommunications sector.

Learning Outcomes

  • Demonstrate a knowledge of general computing principles and the ability to develop and work with abstractions.
  • Demonstrate a knowledge of classical algorithms and data structures, analyze the efficiency of algorithms, and implement efficient algorithms to solve computational problems.
  • Show proficiency in data management and analysis including the ability to gather, clean, and evaluate the worth of data from disparate sources, as well as manage data in a database or data structure so it can be efficiently retrieved for analysis.
  • Demonstrate an ability to reshape and assess the significance and robustness of data using statistical and visualization techniques, and use stores of data to model and predict future data from a similar source.
  • Understand how the data science pipeline affects facets of science, engineering, and technology, and be able to assess the ethical implications.
  • Apply data science techniques to solve challenges while working with a domain expert or in team settings, and demonstrate clear technical communication skills.

Plan & Prepare

At the U, we plan for our students to have an exceptional Educational Experience identified by four broad categories we call the Learning Framework: Community, Knowledge & Skills, Transformation, and Impact. This major map will help you envision, explore, design, and plan your personalized Exceptional Education Experience with the Learning Framework at the core. In addition to assisting you in planning your coursework and navigating the requirements of your major, this map will help you incorporate other kinds of experiences to expand your knowledge, support your development, and prepare you for the future you want.

Discover More.


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Last Updated: 7/19/24