Bachelor of Science, Major in Computing Science (IS): 4+1 MS Computing and Data Science
Code | Title | Hours |
---|---|---|
Bachelor of Science, Major in Computing Science (Information Systems): 4+1 MS Computing and Data Science | ||
Core Curriculum | ||
Component Area I (Communications) | 6 | |
Component Area II (Mathematics) 1 | 3 | |
Component Area III (Life and Physical Science) | 8 | |
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) | 4 | |
Degree Specific Requirements | ||
MATH 1420 | Calculus I 1,2 | 4 |
MATH 1430 | Calculus II | 4 |
MATH 2395 | Discrete Mathematics | 3 |
MATH (Advanced) | 3 | |
STAT 3379 | Statistical Methds in Practice | 3 |
Science (In addition to Component Area III) | 8 | |
Major: Foundation | ||
COSC 1436 | Programming Fundamentals I | 4 |
COSC 1437 | Programming Fundamentals II | 4 |
COSC 2329 | Comp Organiz & Machine Lang | 3 |
COSC 3318 | Data Base Management Systems | 3 |
COSC 3319 | Data Structures and Algorithms | 3 |
COSC 4318 | Advanced Language Concepts | 3 |
COSC 4319 | Software Engineering | 3 |
COSC 4349 | Professionalism and Ethics | 3 |
Major: Concentration | ||
COSC 2327 | Intro to Computer Networks | 3 |
COSC 2347 | Special Topics/Programming | 3 |
COSC 3337 | Infor Sys Design & Management | 3 |
COSC 4326 | Network Theory | 3 |
COSC 4149 | Seminar in Computer Science | 1 |
COSC/DFSC Advanced Electives | 6 | |
Electives: Advanced General | ||
Advanced General Electives | 12 | |
4+1 Master of Science in Computing and Data Science 3 | ||
COSC 5340 | Special Topics (taken twice) | 6 |
COSC 5318 | Database Systems | 3 |
COSC 5319 | Algorithm Design and Analysis | 3 |
COSC 6319 | Software Engineering | 3 |
Track Electives | 9 | |
Thesis OR Internship Option | 6 | |
Thesis | ||
Thesis | ||
Thesis | ||
Total Hours | 150 |
- 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
Students who are not eligible for enrollment in MATH 1420 will have additional mathematics requirements.
- 3
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.
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.
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 pre-requisite courses.
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 4-year plan to meet the overall credit hour and advanced credit hour requirements.
First Year | |||||
---|---|---|---|---|---|
Fall | Hours | Spring | Hours | ||
Component Area III | 4 | Component Area III | 4 | ||
COSC 1436 | 4 | COSC 1437 | 4 | ||
ENGL 13011 | 3 | ENGL 13021 | 3 | ||
MATH 14202 | 4 | MATH 1430 | 4 | ||
15 | 15 | ||||
Second Year | |||||
Fall | Hours | Spring | Hours | ||
Component Area IV | 3 | Component Area V | 3 | ||
Component Area VIII | 3 | COSC 2329 | 3 | ||
COSC 2347 | 3 | COSC 3318 | 3 | ||
HIST 13013 | 3 | HIST 13023 | 3 | ||
POLS 23054 | 3 | POLS 23064 | 3 | ||
15 | 15 | ||||
Third Year | |||||
Fall | Hours | Spring | Hours | ||
COSC 3319 | 3 | Component Area IX | 3 | ||
Degree Specific Requirement: Science | 4 | COSC 2327 | 3 | ||
Advanced General Electives | 6 | COSC 3337 | 3 | ||
MATH 2395 | 3 | Degree Specific Requirement: Science | 4 | ||
STAT 3379 | 3 | ||||
16 | 16 | ||||
Fourth Year | |||||
Fall | Hours | Spring | Hours | Summer | Hours |
COSC 4318 | 3 | COSC 4319 | 3 | COSC 53405 | 6 |
COSC/DFSC Advanced Elective | 3 | COSC 4349 | 3 | ||
COSC 4326 | 3 | COSC/DFSC Advanced Elective | 3 | ||
Advanced General Elective | 3 | COSC 4149 | 1 | ||
MATH (Advanced) | 3 | Advanced General Elective | 3 | ||
15 | 13 | 6 | |||
Fifth Year | |||||
Fall | Hours | Spring | Hours | Summer | Hours |
COSC 5318 | 3 | COSC 5319 | 3 | Track Elective | 3 |
Track Electives | 6 | COSC 6319 | 3 | Thesis OR Internship | 3 |
Thesis OR Internship Option | 3 | Thesis | |||
Thesis | |||||
Internship | |||||
Internship | |||||
9 | 9 | 6 | |||
Total Hours: 150 |
- 1
Satisfies Core Curriculum requirement for Component Area I (Communications).
- 2
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. MATH 1420 will have additional mathematics requirements.
- 3
Satisfies Core Curriculum requirement for Component Area VI (U.S. History).
- 4
Satisfies Core Curriculum requirement for Component Area VII (Political Science/ Government).
- 5
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.
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.
Students who are preparing to apply to gradate 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 pre-requisite courses.
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 4-year plan to meet the overall credit hour and advanced credit hour requirements.
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.
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Identify and solve complex computing problems in information technology, business, medicine, and other essential industries.
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World-class soft skills in complex problem-solving, communication, and creative thinking.
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Strong technical skills and interpersonal skills to work as a group.
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Superior technical writing skills to document and publish their findings.