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  Computer Science Program Educational Objectives

  After completing the Bachelor of Science in Computer Science (BSCS) at University of Detroit Mercy, graduates are expected to be able to:

  1. Pursue professional practice of computing or a graduate degree based on the acquired technical skills and knowledge in mathematics, science, and computer science.
  2. Efficiently analyze, model, design, develop, and implement high quality components, processes, and systems using appropriate computer science principles, techniques, and tools.
  3. Solve computing problems in teams and communicate effectively with stakeholders both verbally and in writing.
  4. Engage in continuing education and professional organizations to keep current with the new developments in the field of computer science, and understand the impact of computing solutions in a global and societal context.
  5. Express professionalism in their work, impact society in an ethical and responsible manner, and identify the legal, security, and social constraints on processes, components, and systems
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  Program Learning Outcomes

  Graduates of this program will be able to:

  1. Analyze a complex computing problem and 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.

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  Degree Requirements鈥擝achelor of Science in Computer Science (124 credits)

  This program provides educational excellence in Computer Science while preparing graduates that are intellectually, spiritually, ethically, and socially developed to pursue a graduate degree in computer science or software engineering, or an exciting and rewarding computing career in industry, education, health, and government. The major requirements are as follows:

  Required Major Courses (60 credits)

  • CSSE 1710 Introduction to Programming I (3 credits)
  • CSSE 1711 Introduction to Programming I Lab (1 credit)
  • CSSE 1720 Introduction to Programming II (3 credits)
  • CSSE 1721 Introduction to Programming II Lab (1 credit)
  • CSSE 2130 Java (3 credits)
  • CSSE 3430 Data Structures & Algorithm Analysis (3 credits)
  • CSSE 3540 Database Systems and Programming (3 credits)
  • CSSE 4150 Introduction to Software Engineering (3 credits)
  • CSSE 4440 Web Technology (3 credits)
  • CSSE 4490 Operating Systems (3 credits)
  • CSSE 4540 Computer Security (3 credits)
  • CSSE 4550 Introduction to Artificial Intelligence (3 credits)
  • CSSE 4610 Introduction to Data Mining (3 credits)
  • CSSE 4951 Senior Design I (3 credits)
  • CSSE 4952 Senior Design II (3 credits)
  • ELEE 2640 Digital Logic Circuits I (3 credits)
  • ELEE 4680 Computer Networking (3 credits)
  • ELEE 4690 Computer Networking Laboratory (1 credit)
  • ELEE 4800 Computer Organization and Architecture (3 credits)
  • Technical Elective I - select one CSSE course 3000/4000-level. See options below. (3 credits)
  • Technical Elective II - select one CSSE/ELEE course 4000-level. See options below. (3 credits)
  • Technical Elective III - select one 4000-level CSSE, MTH, CIS, or engineering course with advisor approval (3 credits)

  Technical Electives - Flexibility and Focus 

  To allow flexibility to address personal interests and to focus on career-oriented objectives, students choose two technical electives from software engineering, computer science or computer engineering. Some of these courses include:

  • CSSE 3560 Mobile Application Development (3 credits)
  • CSSE 4570 Software Project Management (3 credits)
  • CSSE 4620 Introduction to Bioinformatics (3 credits)
  • CSSE 4640 Parallel Programming (3 credits)
  • CSSE 4670 Distributed Computation (3 credits)
  • CSSE 4900 Special Topics (3 credits)
  • CIS 4450 Introduction to Digital Forensics (3 credits)
  • CIS 4710 Ethical Hacking (3 credits)
  • ELEE 4000 Hardware and Software Integration (3 credits)
  • ELEE 4400 Computational Intelligence Techniques (3 credits)
  • ELEE 4920 Digital Image Processing and Computer Vision (3 credits)

             The following are permitted for students in select accelerated programs with advisor approval only:
  

  • ELEE 2500/2510 Fundamentals of Electrical & Computer Engineering I and Lab (4 credits)
  • ELEE 3860/3870 Introduction to Microcontrollers and Lab (4 credits)

  Students must earn at least a “C” grade in each CSSE course and a 2.0 overall average for all courses required for the major.

  Additional Supportive Course Requirements (37-39 credits)

  • Science Elective I: choose one class/lab combination: BIO 1200+BIO 1210 or PHY 1600+PHY 1610  (4-5 credits)
  • Science Elective II: choose one class/lab combination (not selected for Science I Elective): BIO 1200+BIO 1210,  BIO 1220+BIO 1230,  PHY 1600+PHY 1610, PHY 1300+PHY 1310  PHY 1620+PHY 1630, PHY 1320+PHY 1330, CHM 1070+CHM 1100  (4-5 credits)
  • ENGR 1000 Engineering Ethics (2 credits)
  • ENGR 3000 Intro to Cooperative Education in Engineering & Science (1 credit)
  • ENGR 3001 Cooperative Education in Engineering & Science I (0 credit) waived in some cases
  • ENGR 3002 Cooperative Education in Engineering & Science II (0 credit) waived in some cases
  • ENGR 3110 Professional Practice of Engineering (2 credits)
  • ENL 3030 Technical Writing (3 credits)
  • MTH 1410 Analytic Geometry and Calculus I (4 credits) 
  • MTH 1420 Analytic Geometry and Calculus II (4 credits)
  • MTH 2760 Discrete Structures (3 credits)
  • MTH 3020 Linear Algebra with Applications (3 credits)
  • MTH 4270 Applied Probability and Statistics (3 credits)
  • CTA 3010 Co-op I (2 credits)
  • CTA 3020 Co-op II (2 credits)

  University Core Curriculum Courses

  In addition to the courses required for this program listed above, the student must also fulfill the requirements of the University Core Curriculum for this program.

  Some of these courses may be satisfied by courses in your program.  Please review your Degree Evaluation or consult your academic advisor for more information.

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  Cooperative Education

  Students are required to participate in the University’s Cooperative Education Program. Beginning in the sophomore year (or earlier), students are assisted in finding employment to gain experience (and pay) in a computing field. Students must register for ENGR 3000 prior to their first co-op. Four credits of co-op will be counted toward graduation. Students are encouraged to complete additional co-op assignments.

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  Combined Bachelor/Master Program and Bachelor/Graduate Certificate Program

  New freshmen who meet the required GPA and ACT/SAT test scores, or current eligible Computer Science students who have achieved a grade point average of 3.25 may apply for the Five-Year Bachelor-Master Program to complete both a Bachelor of Science in Computer Science (BSCS) and a Master of Science in Software Engineering (MSSE) in five years. This is an exceptional opportunity for outstanding students to begin their professional careers with a great academic advantage. For additional information, see the catalog page: 5-Year BSCS/MSSE program.

  Similarly, eligible incoming freshmen or current students may consider the accelerated Bachelor of Science in Computer Science/Graduate Certificate in Vehicle Cyber Engineering program. More details here: BSCS/Grad Cert VCE.

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  Computer Science Minor

  Computer Science deals with the application of various algorithms and techniques to solve computing problems in virtually every discipline. There is a constantly increasing demand for computing skills in all businesses and industry. A minor in Computer Science will complement any field of study with computing knowledge, and promote computational thinking among students enabling them to apply computing skills to their prospective fields. Many non-computer professionals are using and applying computers to solve critical problems in their fields. With a minor in Computer Science, students will be transformed from mere users to professionals who can integrate software design and programming with other disciplines.

  The Computer Science Minor is not available for students majoring in Computer Science.

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  Bioinformatics Minor

  Bioinformatics is a new and rapidly evolving discipline that has emerged from the fields of Molecular Biology and Computer Science. Bioinformatics is being used in many different areas such as molecular medicine, preventative medicine, gene therapy, drug development, waste cleanup, climate change, alternative energy sources, biotechnology, antibiotic resistance, forensic analysis of microbes, bio-weapon prevention, evolutionary studies, crop improvement, insect resistance, nutritional quality, and more. For more information: Bioinformatics Minor.