Computer Science and Information Technology Degrees

Mission Statement

Our mission is to provide a fundamental core that establishes the scientific foundation
necessary for life long learning and graduate education, and an appropriate variety
of educational and research experiences that provide the skills necessary for careers
in the information technology industry and to sustain our recognized excellence in
teaching and service to students and the community.

Bachelor of Science in Computer Science

The Computer Science program is designed to provide a foundation in computer information systems
to prepare graduates to succeed in the IT profession as well as graduate school. The
Computer Science degree offers three concentrations: Data Science, Scientific and Pre-MBA.
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Program Educational Objectives

  • Graduates will be competent professionals, able to

    • employ a pallet of multiple hardware platforms and software development environments,
      integrated with the appropriate theoretical constructs, to develop practical solutions
      to technological problems

    • deploy those solutions and

    • provide for their maintenance and administration.

  • Graduates will be able to effectively integrate research methods, appropriate theory,
    mathematics, and computational technology to analyze and solve problems encountered
    in the development of technological solutions.

  • Graduates will be able to assimilate new methodologies and advances in computer technology
    in an ever-evolving discipline.

  • Graduates will be effective in the elicitation of requirements for a software specification,
    and the written and oral communication of results to technical and non-technical colleagues
    and clients.

  • Graduates will be able to work independently and in collaboration with colleagues.

  • Graduates will be able to integrate the ethical standards of the profession and their
    professional knowledge and skills to contribute to society.

 

The Program Educational Objectives are linked to Student Learning Outcomes which have
been mapped to each course in the curriculum.

 

Student Learning Outcomes (SLOs) or “Measurable Outcomes”:

The student outcomes are listed below:

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.

 

Data Science Concentration

Data ScienceThe Data Science Concentration is a multi-disciplinary field that mainly integrates
computer science, math, and information science. This concentration aims to teach
how to process data and utilize the processed data by means of algorithms that mimics
human intelligence. The Data Science concentration is especially appropriate for students
wishing to pursue a graduate degree in data science leading ultimately to a research
career or application development for data analysis.

Data Science Concentration Prerequisite Chart

Data Science Concentration Curriculum Sheet
2020-2021, 2021-2022, 2022-2023, 2023-2024  

Scientific Concentration

CSBSThe Scientific Concentration provides a comprehensive computer science foundation
that prepares students to design and implement software to solve computing problems.
It covers applied topics, but emphasizes theoretical understanding of computer science,
including an ability to use advanced mathematics to solve scientific problems and
to work closely with other scientists to devise new ways of using computers. This
concentration is especially appropriate for students wishing to pursue a graduate
degree in computer science, leading ultimately to a career in academic or industrial
research.

Scientific Concentration Prerequisite Chart

Scientific Concentration Curriculum Sheet: 
2009-2010, 2010-2011, 2011-2012, 2012-2013, 2013-2014, 2014-2015, 2015-2016, 2016-2017, 2017-2018, 2018-2019, 2019-2020, 2020-2021, 2021-2022, 2022-2023, 2023-2024 

 

Pre-MBA Concentration (Previously called Information Systems)

 ISThe Pre-MBA Concentration is intended for students who want to apply computer science
in a management setting. Having grown out of a business perspective, this concentration
focuses on managing information, projects, and other technical professionals. Although
it still contains a significant core of theoretical and applied computer science,
the curriculum also includes business and management courses to educate students in
the organizational side of computer science, as well as fairly advanced mathematics,
enabling students to manage scientific computing projects and personnel more effectively.
Upon graduation, students can earn an MBA degree from Southeastern within one year,
assuming they take BLAW 231 their graduating semester and meet the admissions requirements
for graduate school. 

Pre-MBA (Information Systems) Concentration Prerequisite Chart

Pre-MBA (previously called Information Systems) Concentration Curriculum Sheet: 
2009-2010, 2010-2011, 2011-2012, 2012-2013, 2013-2014, Pre-MBA: 2014-2015, 2015-2016, 2016-2017, 2017-2018, 2018-2019, 2019-2020, 2020-2021, 2021-2022, 2022-2023, 2023-2024

Bachelor of Science in Information Technology

 

BSITThe Bachelor of Science in Information Technology prepares students with practical,
hands-on expertise to solve everyday computing problems. High achieving
students can apply for the ACE program (Accelerated Computing Engagement) program
which is a pathway to earning the Bachelor’s in Information Technology in three years
and includes several perks including a direct opportunity to an internship experience.

The curriculum includes theoretical computer science topics and enough mathematics
for graduates to successfully converse with other computing professionals. However,
this concentration focuses much more on the applications of computer science, and
as such does not require as many higher mathematics courses as the other concentrations.
As part of this applied focus, students in this concentration satisfy an application
area component, a series of electives designed to enable a deeper study of one particular
computing application. Careers in this concentration focus on developing, supporting,
and administrating the computing technology that has become critical to all organizations.

 

Program Educational Objectives

  • Graduates will be competent professionals, able to:

    • Employ a pallet of multiple hardware platforms and software development environments,
      integrated with the appropriate theoretical constructs, to develop practical solutions
      to technological problems,

    • Deploy those solutions, and

    • Provide for their maintenance and administration.

  • Graduates will be able to effectively integrate research methods, appropriate theory,
    and computational technology to analyze and solve problems encountered in the development
    of technological solutions.

  • Graduates will be able to assimilate new methodologies and advances in computer technology
    in an ever-evolving discipline.

  • Graduates will be effective in the elicitation of requirements for a software specification,
    and the written and oral communication of results to technical and non-technical colleagues
    and clients.

  • Graduates will be able to work independently and in collaboration with colleagues.

  • Graduates will be able to integrate the ethical standards of the profession and their
    professional knowledge and skills to contribute to society.

 

Student Learning Outcomes (SLOs) or “Measurable Outcomes”:

The student outcomes are listed below:

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. Use systemic approaches to select, develop, apply, integrate, and administer secure
computing technologies to accomplish user goals.

 

 

The Program Educational Objectives are linked to Student Learning Outcomes which have
been mapped to each course in the curriculum.

Information Technology Prerequisite Chart

Information Technology Curriculum Sheet:
2013-2014, 2014-2015, 2015-2016, 2016-2017, 2017-2018, 2018-2019, 2019-2020, 2020-2021, 2021-2022, 
2022-2023, 2023-2024

This program features an Application Area which is essentially a free elective pool;
however, students are encouraged to take courses in the following Example Application Areas. 

Information Technology Concentration in CS Degree(Discontinued after 2012-2013)

NOTE: This only affects students who entered the program prior to Fall 2013.  

Starting in the Fall semester of 2013, the Information Technology Concentration in
the Computer Science degree program has been discontinued and replaced with the Bachelor
of Science in Information Technology degree program (see below).

Information Technology Concentration Prerequisite Chart

Information Technology Previous Curriculum Sheets 
2009-2010, 2010-2011, 2011-2012, 2012-2013 (Discontinued after 2012-2013)