Computer Science Major - Artificial Intelligence and Machine Learning Concentration

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Mission

The mission of BS in Computer Science program with a concentration in Artificial Intelligence and Machine Learning is to address the growing demand for Artificial Intelligence & Machine Learning experts in various industries, including healthcare, finance, and technology. By including a concentration in AI & ML students will be prepared for careers in these fields and will be able to compete in the job market at the private and public sectors. Students will take classes in Python Programming, Artificial Intelligence, Machine Learning, and Natural Language Processing.

Target Audience

Students who are interested in pursuing a career as an AI Engineer, Machine Learning Engineer, Data Engineer, AI Specialist, NLP Expert in Financial services, Healthcare, Technology, Government and Military need to select this concentration.

Student Learning Outcomes

Within five years of graduation, alumni of the B.S. program in Computer science should be:

Conducting successful career in computer science disciplines and/or pursuing graduate study in computer science.
Demonstrating life-long learning skills and adapting to emerging markets and technologies.
Embracing high personal and professional standards of conduct, citizenship, and service.
Student Outcomes (SOs) for B.S. in Computer Science

Graduates of the program will have an ability to:

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

Major Academic Map

Click here to view the Academic Map for this major, which shows the courses and sequence.

Freshman Year

Freshman Fall

LDRS 101 - The First-Year Experience Credit Hours: 1
CSCI 201 - Introduction to Computer Science I Credit Hours: 3
CSCI 211 - Introduction to Computer Science I Lab Credit Hours: 1
MATH 131 - Analytic Geometry and Calculus I Credit Hours: 4
RPED 260 - Physical Fitness, Resiliency, & Wellness Credit Hours: 3
Language Credit Hours: 3
1st Year Basic ROTC

Sophomore Fall

CSCI 202 - Introduction to Computer Science II Credit Hours: 3
MATH 132 - Analytic Geometry and Calculus II Credit Hours: 4
FSEM 101 - Freshman Seminar Credit Hours: 3
FSWI 101 - Freshman Seminar Writing Intensive Credit Hours: 3
Language Credit Hours: 3
1st Year Basic ROTC

Sophomore Year

Sophomore Fall

LDRS 211 - Sophomore Seminar Service Learning Lab Credit Hours: 0
CSCI 305 - Computer Organization and Programming Credit Hours: 3
MATH 206 - Introduction to Discrete Structures Credit Hours: 3
COMM 260 - Technical Writing and Communication Credit Hours: 3
Science I Credit Hours: 4*
General Elective Credit Hours: 3
RPED - Required Physical Education Credit Hours: 0
2nd Year Basic ROTC

Sophomore Spring

LDRS 202 - Principled Leadership in American Government and Society Credit Hours: 3
CSCI 205 - Introduction to Programming with Python Credit Hours: 3
CSCI 223 - Data Structures and Algorithms Credit Hours: 3
Science II Credit Hours 4*
Strand Course Credit Hours: 3
RPED - Required Physical Education Credit Hours: 0
2nd Year Basic ROTC

Junior Year

Junior Fall

LDRS 311 - Junior Ethics Enrichment Experience Credit Hours: 0
LDRS 371 - Leadership in Organizations Credit Hours: 3
CSCI 355 - Programming Languages Credit Hours: 3
CSCI 405 - Operating Systems Credit Hours: 3
MATH 208 - Mathematics for Artificial Intelligence and Machine Learning Credit Hours: 3
Strand Course Credit Hours: 3
1st Year Advanced ROTC

Junior Spring

CSCI 317 - Computer Networks and Internets Credit Hours: 3
CSCI 320 - Database Design Credit Hours: 3
CSCI 399 - Junior Research Project Credit Hours: 3
CSCI 455 - Artificial Intelligence Credit Hours: 3
STAT 261 - Introduction to Probability and Statistics Credit Hours: 3
1st Year Advanced ROTC

Senior Year

Senior Fall

LDRS 411 - Senior Leadership Integration Seminar Credit Hours: 0
CSCI 420 - Software Engineering Credit Hours: 3
CSCI 457 - Natural Language Processing Credit Hours: 3
CSCI 495 - Senior Seminar in Computer Science Credit Hours: 3 ***
ELEC 311 - Digital Logic and Circuits Credit Hours: 3
Strand Course Credit Hours: 3
1st Year Advanced ROTC

Senior Spring

CSCI 456 - Machine Learning Credit Hours: 3
CSCI 499 - Senior Research Project Credit Hours: 3
ELEC 330 - Digital Systems Engineering Credit Hours: 3
CSCI Elective Credit Hours 3
General Elective Credit Hours 3**
2nd Year Advanced ROTC

Note

* Any two of the following lecture/lab pairs: BIOL 105 / BIOL 115 , CHEM 151 / CHEM 161 , CHEM 152 / CHEM 162 , PHYS 221 / PHYS 271 , PHYS 222 / PHYS 272

*** General Education Capstone

ROTC Course Requirements:

ROTC course requirements apply to members of the SCCC only:

Cadets contracted or pursuing a contract should take 8 semesters of ROTC.
Cadets not contracted or pursuing a contract should take 4 semesters of ROTC Basic and 4 semesters of ROTC fulfilment courses. Available ROTC fulfillment courses are published online annually by the department of Leadership Studies.
ROTC courses typically carry 1 to 3 hours of credit, depending on the level. ROTC fulfillment courses typically carry 3 hours of credit. See the course descriptions for specific information.

Required For Graduation

Required Hours for graduation are 122 plus the successful completion of all required LDRS, ROTC, & RPED degree requirements.