BS in Computer Science (Data Sci)

The Bachelor of Science degree in Computer Science with Data Science concentration emphasizes extraction of knowledge or insights from massive amounts of structured/unstructured data. This concentration requires a minimum of 54 credit hours in computer science and computer engineering, about 28 credit hours in mathematics and the natural sciences, and the university general education program.

The program curriculum provides required computer science courses such as data structures, algorithms, database systems, object-oriented software development, artificial intelligence, operating systems, ethical implications, data mining, machine learning, and applied data science; as well as elective courses in networking, Linux/UNIX systems, numerical methods, information security, parallel computing, game programming, multimedia computing, mobile programming, web technology, data clustering, theory of computation, and other current topics in computer science, computer engineering, and cybersecurity.

[1] Program Educational Objectives

Graduates of the program are expected to attain the following abilities within a few years of graduation:

  • Grow as well-educated professionals with integrated high-level understanding of computing systems, processes, and the main body of knowledge of computer science as a whole;
  • Be able to creatively apply essential concepts, principles, and practices to appropriately construct solutions and analyze the processes for applications with professional judgments in the selection and application of theory, tools and techniques;
  • Work productively, as an individual and as a team member, to produce work involving problem identification, analysis, design, and development of a software system within a professional, legal, and ethical framework; and
  • Maintain their skills as the field evolves and appreciate the needs for continuing professional growth and development to keep current in the profession.

[2] Student Outcomes

Students in the program are expected to know and be able to do the following by the time of graduation:

  1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions
  2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline
  3. Communicate effectively in a variety of professional contexts
  4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles
  5. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline
  6. Apply computer science theory and software development fundamentals to produce computing-based solutions

Requirements for the B.S. Degree in Computer Science with Data Science Concentration

Undergraduate Bulletin: Major

Undergraduate Bulletin: Concentration

Undergraduate Bulletin: Course Descriptions

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