B.S. in Data Science

B.S. in Data Science

Extract knowledge from data to drive decision-making.

STEM-designated programThe B.S. in Data Science program provides an undergraduate option for students wishing to pursue and/or advance careers in the data science field.

Students will learn about enterprise data analytics, apply analytic techniques and software to interact with data, evaluate methods of data and analytic modeling and apply analytics to support data-driven business decision-making. You will also gain skills in programming, cloud computing, machine learning, and business analytics, allowing them to pursue certification in Amazon Web Services, Microsoft Azure, and IBM Data Science Professional.

Learning Goals & Objectives

  • Prepare students in addressing complex issues and by following a “learn-by-doing” pedagogy
  • Develop in-depth understanding of the principal tools and techniques in data science and business analytics, including data mining, predictive modeling, visualization techniques, and complex statistical analysis.
  • Understand the ethical issues and implications in data science, including informed consent, bias, access, and data privacy.
  • Gain practical, hands-on skills by applying data science skills and concepts in experiential projects and research, and effectively interpreting and communicating results.
  • Every student to participate in an internship to apply the skills acquired from the course of study to a real-world job experience.
  • Acquire skills that employers are looking for to hire, so students are ready on day one for the job.

B.S. in Data Science

Graduates of this program will be able to

  • Become a skilled Data Scientist with knowledge, skills, and abilities (KSAs), ready to work in industry or to pursue a Master’s Degree.
  • Demonstrate mastery of skill in analytical tools, programming languages, and machine learning to include R, Python, SQL, Database/Cloud technology, and Tableau.
  • Evaluate legal & ethical issues to promote corporate social responsibility.
  • Use specialist software tools for data storage, analysis and visualization.
  • Consider and recognize cultural needs, so that data science solutions can serve a wide array of diverse individuals.
  • Determine how data science innovations and outcomes impact society.
  • Conduct research/investigation to solve practical problems

The program also offers students the opportunity to apply skills and knowledge in real-time weekly through hands-on labs in class, as well as quizzes, assignments, group projects, and capstone challenges. As you progress through the program, you will come to deeply appreciate the nuances of data as well as build a professional portfolio through the National Student Clearinghouse (NSC) Myhub Wallet.

The Myhub Wallet is part of a student’s Learning and Employment Record (LER). Each student benefits from the (LER) as it is a lifetime career “Wallet” block-chained by the IBM Learning Credential Network (LCN). The “Wallet” enables students to promote their workplace skills, experience, education transcripts and portfolio of work, find career pathways to suitable roles and be matched to employers’ skills-based hiring needs.