Bachelor of Science, Major in Computing Science (IS): 4+1 MS Computing and Data Science

Additional information: Reference the Program Landing Page for additional information, such as cost, delivery format, contact information, or to schedule a visit. 

Bachelor of Science, Major in Computing Science (Information Systems, IS): 4+1 MS in Computing and Data Science
Core Curriculum
Component Area I (Communication)6
Component Area II (Mathematics) 13
Component Area III (Life and Physical Science) 28
Component Area IV (Language, Philosophy, and Culture)3
Component Area V (Creative Arts)3
Component Area VI (U.S. History)6
Component Area VII (Political Science/Government)6
Component Area VIII (Social and Behavioral Sciences)3
Component Area IX (Component Area Option) 14
Degree Specific Requirements
MATH 1420Calculus I 1, 34
MATH 1430Calculus II4
MATH 2395Discrete Mathematics3
MATH (Advanced)3
Science (In addition to Component Area III) 28
STAT 3379Statistical Methods in Practice3
Major: Foundation
COSC 1436Programming Fundamentals I4
COSC 1437Programming Fundamentals II4
COSC 2329Computer Organization & Machine Language3
COSC 3318Data Base Management Systems3
COSC 3319Data Structures and Algorithms3
COSC 4318Advanced Language Concepts3
COSC 4319Software Engineering3
COSC 4349Professionalism and Ethics3
Major: Concentration
COSC 2327Introduction to Computer Networks3
COSC 2347Special Topics/Programming3
COSC 3337Information Systems Design & Management3
COSC 4149Seminar in Computer Science1
COSC 4326Network Theory3
COSC/DFSC Advanced Electives6
Electives: Advanced General
Advanced General Electives 12
4+1 Master of Science in Computing and Data Science 4
COSC 5318Database Systems3
COSC 5319Algorithm Design and Analysis3
COSC 5340Special Topics (taken twice)6
or COSC 5300 Computer Science Internship
COSC 6319Software Engineering3
Track Electives 59
Thesis OR Internship Option6
Thesis
Thesis
Thesis
Internship
Computer Science Internship
Programming Practicum
Minor: Not Required 6, 7
Total Hours150
1

MATH 1420 satisfies the Core Curriculum requirement for Component Area II (Mathematics), one semester credit hour of the Core Curriculum requirement for Component Area IX (Component Area Option), and the Degree Specific Requirement.

2

The Core Curriculum requirement for Component Area III (Life and Physical Science) is satisfied by eight semester credit hours of science.  An additional eight semester credit hours of science satisfies the Science component of the Degree Specific Requirement.

3

Students who are not eligible for enrollment in MATH 1420 will have additional mathematics requirements. 

4

Students planning to pursue the 4+1 CDS option must complete the Graduate Application process and be accepted to the MS in CDS program. In order to apply to the 4+1 CDS program, students must complete all undergraduate degree plan requirements (minimum of 120 semester credit hours) and all admission requirements.  Once a student is accepted to the graduate CDS program, students are eligible to begin the CDS program upon completion of all admission requirements.  The graduate program will begin in the Summer I semester term each year and will run as a cohort model.  Students may apply to the program while coursework is in progress but may not begin the graduate CDS program until the 120 semester credit hours are completed.

5

See Computing and Data Science Tracks course listings below.

6

A minor is not required for this degree program; however, a student has the option to add a minor, but to do so, additional semester credit hours may be needed above the degree program's stated total semester credit hours.

7

The following minors cannot be paired with this degree program:  COSC: Computer Sciences (CS), COSC: Information Assurance (IA), and COSC: Information Systems (IS).

Notes

Students must earn a 2.0 minimum overall GPA in all coursework. 

Students must meet a 2.0 minimum overall major GPA in all major coursework.

Students must earn a 2.0 minimum SHSU GPA in all coursework.

Students must meet a 2.0 minimum SHSU major GPA in all major coursework.

The minimum number of credit hours required for a baccalaureate degree is 120. The minimum number of advanced credit hours for a baccalaureate degree is 42. Students may take free elective courses beyond the hours identified in the recommended four-year plan to meet the overall credit hour and advanced credit hour requirements.

Students who are preparing to apply to graduate CDS programs should earn a "C" or better in their coursework.  All CS majors and/or minors must earn a "C" or better for all COSC/DFSC courses, and all CDS prospective students must earn a "C" or better in all prerequisite courses. 

Computing and Data Science Tracks 5
Data Science
COSC 5313Artificial Intelligence3
COSC 6314Data Mining/Knowledge Discovery3
COSC 6315Machine Learning3
Systems
COSC 5322Real-Time and Embedded Systems3
COSC 5326Networks & Data Communications3
COSC 6321Distributed Computing3
First Year
FallHoursSpringHours 
Component Area III14Component Area III14 
COSC 14364COSC 14374 
ENGL 130123ENGL 130223 
MATH 142034MATH 14304 
 15 15 
Second Year
FallHoursSpringHours 
Component Area IV3Component Area V3 
Component Area VIII3COSC 23293 
COSC 23473COSC 33183 
HSTY 130143HSTY 130243 
POLS 230553POLS 230653 
 15 15 
Third Year
FallHoursSpringHours 
Advanced General Electives6Component Area IX3 
COSC 33193COSC 23273 
DSR: Science14COSC 33373 
MATH 23953DSR: Science14 
 STAT 33793 
 16 16 
Fourth Year
FallHoursSpringHoursSummerHours
Advanced General Electives3Advanced General Electives3COSC 5340 or 5300 (taken twice)66
COSC 43183COSC 41491 
COSC 43263COSC 43193 
COSC/DFSC Advanced Electives3COSC 43493 
MATH (Advanced)3COSC/DFSC Advanced Electives3 
 15 13 6
Fifth Year
FallHoursSpringHoursSummerHours
COSC 53183COSC 53193Thesis OR Internship Option3
Track Electives76COSC 63193
Thesis
 Thesis OR Internship Option 3
 
Thesis
 
Internship
 
 
Internship
 Track Electives73
  
 9 9 6
Total Hours: 150
1

The Core Curriculum requirement for Component Area III (Life and Physical Science) is satisfied by eight semester credit hours of science.  An additional eight semester credit hours of science satisfies the Science component of the Degree Specific Requirement.

2

Satisfies the Core Curriculum requirement for Component Area I (Communication).

3

Satisfies the Core Curriculum requirement for Component Area II (Mathematics), one semester credit hour of the Core Curriculum requirement for Component Area IX (Component Area Option), and the Degree Specific Requirement. Students who are not eligible for enrollment in MATH 1420 will have additional mathematics requirements. 

4

Satisfies the Core Curriculum requirement for Component Area VI (U.S. History).

5

Satisfies the Core Curriculum requirement for Component Area VII (Political Science/Government).

6

Students planning to pursue the 4+1 CDS option must complete the Graduate Application process and be accepted to the MS in CDS program. In order to apply to the 4+1 CDS program, students must complete all undergraduate degree plan requirements (minimum of 120 semester credit hours) and all admission requirements.  Once a student is accepted to the graduate CDS program, students are eligible to begin the CDS program upon completion of all admission requirements.  The graduate program will begin in the Summer I semester term each year and will run as a cohort model.  Students may apply to the program while coursework is in progress but may not begin the graduate CDS program until the 120 semester credit hours are completed.

7

See Computing and Data Science Tracks course listings below.

Notes

Students must earn a 2.0 minimum overall GPA in all coursework. 

Students must meet a 2.0 minimum overall major GPA in all major coursework.

Students must earn a 2.0 minimum SHSU GPA in all coursework.

Students must meet a 2.0 minimum SHSU major GPA in all major coursework.

A minor is not required for this degree program; however, a student has the option to add a minor, but to do so, additional semester credit hours may be needed above the degree program's stated total semester credit hours.

The following minors cannot be paired with this degree program:  COSC: Computer Sciences (CS), COSC: Information Assurance (IA), and COSC: Information Systems (IS).

The minimum number of credit hours required for a baccalaureate degree is 120. The minimum number of advanced credit hours for a baccalaureate degree is 42. Students may take free elective courses beyond the hours identified in the recommended four-year plan to meet the overall credit hour and advanced credit hour requirements.

Students who are preparing to apply to graduate CDS programs should earn a "C" or better in their coursework.  All CS majors and/or minors must earn a "C" or better for all COSC/DFSC courses, and all CDS prospective students must earn a "C" or better in all prerequisite courses. 

Computing and Data Science Tracks 7
Data Science
COSC 5313Artificial Intelligence3
COSC 6314Data Mining/Knowledge Discovery3
COSC 6315Machine Learning3
Systems
COSC 5322Real-Time and Embedded Systems3
COSC 5326Networks & Data Communications3
COSC 6321Distributed Computing3

The Texas Higher Education Coordinating Board (THECB) marketable skills initiative is part of the state’s 60x30TX plan and was designed to help students articulate their skills to employers.  Marketable skills are those skills valued by employers and/or graduate programs that can be applied in a variety of work or education settings and may include interpersonal, cognitive, and applied skill areas.

The BS in Computing Science (Information Systems, IS): 4+1 MS in Computing and Data Science is designed to provide graduates with the following marketable skills:

  • Software design.
  • Database management.
  • Complex problem-solving.
  • Application of theoretical principles to the solution of technological problems.
  • Technical communication.
  • Identify and solve complex computing problems in information technology, business, medicine, and other essential industries.
  • World-class soft skills in complex problem-solving, communication, and creative thinking.
  • Strong technical skills and interpersonal skills to work as a group.
  • Superior technical writing skills to document and publish their findings.