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Become a Data Protection Leader With a Degree in Computer Science with a Machine Learning Emphasis

WVPU’s BSc in Computer Science with an Emphasis in Machine Learning focuses on computer science, machine learning and data analysis. Students learn to develop algorithms and systems for a variety of applications, including health care, economics and life sciences. The program also helps students develop strong math, writing and communication skills.

Combining classroom learning and hands-on training, students learn program and system verification, usability, modeling and project management. In addition, they learn to plan and execute projects that solve real-world challenges.

Several students working together in computer lab.

 

Learning Outcomes

Students who complete this program will be able to:

  • Demonstrate a mastery of computer science in the core knowledge areas of software development, algorithms and data structures, computer organization, hardware, architecture, and data and information management, and theoretical foundations of the discipline.
  • Apply knowledge of computer science to solve complex and unpredictable problems.
  • Describe how technological advances impact social issues and professional practice.
  • Write and orally communicate technical material effectively and professionally.
  • Demonstrate an understanding of the vocabulary of machine learning and data analysis terms and phraseology.
  • Demonstrate a working knowledge of machine learning and data analysis in practice.
  • Describe the roles, responsibilities and tools of a machine learning and data analysis professional. 

Information about the BSc in Computer Science with an Emphasis in Machine Learning

Admission to the BSc program in Computer Science with an Emphasis in Machine Learning follows the general admission requirements for Undergraduate programs with supplemental requirements.

1. Proof of a strong foundation in mathematics, demonstrated through:

a. Minimum secondary school grades in all math courses in the last 3 years of
secondary school of 3.0 based on a 4-point scale or its converted equivalent in
international or state-recognized educational systems, or

b. Minimum grades in the last year of specific educational programs/minimum scores
in school leaving examinations, as follows (or their equivalents in other countries).

c. Table:  Minimum Grade or Exam Requirements (or equivalents) for Mathematics: 

Test Minimum Grade
Calculus B
Pre-Calculus A
IB Mathematics HL (AA or AI) 5
IB Mathematics SL (AA or AI)  6
Austrian Matura Mathematics 2
German Abitur Mathematics  2
UK GCE Mathematics (A-Levels) B
AP Calculus  4
SAT Math  600
Serbian Diploma Math  5
Ukrainian Diploma Math 11

 

2. In addition, applicants to the Computer Science (BSc) program must submit:

a. one recommendation letter testifying to the student’s skills and interest in Information
Technologies from the applicant’s teacher, supervisor or similar;

b. Summary of related extra-curricular activities and competitions (e.g., Robotics, Coding/Programming, “Hackathons (Science and Technology fairs)" or out-of-school courses or projects.

Find out more about specific classes and the full curriculum in our catalog at Computer Science with an Emphasis in Machine Learning (BSc).

Study Plans for individual classes will be available through Connections (requires login).