Computer Science / Bachelor of Science to Master of Science in Data Science / Fast Track
Total Credit Hours: 128
Major Credit Hours: 53
The Computer and Mathematical Sciences Department offers a Bachelor’s to Master’s Fast Track option for Lewis University undergraduate Computer Science majors interested in the Master of Science in Data Science (MSDS). The Fast Track option allows qualified undergraduates to complete the MS in Data Science in less time than would be possible if the two programs were taken separately. Up to nine graduate hours may be used both to complete the Bachelor of Science degree (128 hours) and to satisfy specific course requirements in the Master’s program (36 hours). Students apply for admission to the Fast Track option by submitting both the department application form and the Block Tuition Exemption form to the Chair of the Computer and Mathematical Sciences Department when they reach senior status (complete 90 credits); have completed the following courses: CPSC 20000, CPSC 21000, CPSC 24500, MATH 24000, MATH 30700, and MATH 31000; and have achieved a minimum GPA of 3.0 in courses in the B.S. in Computer Science major. Qualified undergraduate students approved for the Fast Track option may apply financial aid to one, two, or three graduate courses and are exempt from the 18-hour block in the semesters when they take these select graduate courses. Students who take nine credit hours of selected graduate courses in the MSDS curriculum in their senior year and earn a grade of “B” or better in each of those courses will have to complete a minimum of 27 more credit hours to earn the MSDS. Students accepted into this Fast Track option are required to apply for admission to the MSDS.
Listed below are graduate courses in the MSDS program which students enrolled in the Fast Track option may take during their senior year. Listed next to each is the undergraduate course for which it substitutes
Students in this Fast Track option may apply no more than three of these courses toward their undergraduate Bachelor of Science major in Computer Science:
CPSC 51000 Introduction to Data Mining and Analytics substitutes for CPSC 47200 Introduction to Data Mining
CPSC 51100 Statistical Programming substitutes for either CPSC 23500 Programming for Data Analysis or CPSC 31500 Scientific Computing
CPSC 52500 Encryption and Authentication Systems substitutes for CPSC 42500 Encryption
CPSC 54000 Large-Scale Data Storage Systems substitutes for CPSC 35500 Cloud Computing and Virtualization
CPSC 55000 Machine Learning substitutes for CPSC 47100 Machine Learning
MATH 51000 Mathematics for Data Scientists substitutes for MATH 42500 Mathematical Modeling
MATH 51100 Concepts of Statistics 1 substitutes for MATH 31400 Applied Probability and Statistics or MATH 31500 Probability and Statistics 1
Degree Requirements
Program: BS-CPSC-A
I. Core Courses (35)
II. Capstone Sequence (6)
Complete either course sequence:
III. Data Science Options (9)
To earn 9 credits toward the MSDS, choose three of the following graduate courses:
CPSC 51000 Introduction to Data Mining and Analytics (3) OR CPSC 47200 Introduction to Data Mining (3)
CPSC 51100 Statistical Programming (3) OR CPSC 23500 Programming for Data Analysis OR CPSC 31500 Scientific Computing (3)
CPSC 52500 Encryption and Authentication Systems (3) OR CPSC 42500 Encryption (3)
CPSC 54000 Large-Scale Data Storage Systems (3) OR CPSC 35500 Cloud Computing and Virtualization (3)
CPSC 55000 Machine Learning (3) OR CPSC 47100 Machine Learning (3)
MATH 51000 Mathematics for Data Scientists (3) OR MATH 42500 Mathematical Modeling (3)
MATH 51100 Concepts of Statistics 1 (3) OR MATH 31400 Applied Probability and Statistics OR MATH 31500 Probability and Statistics 1 (3)
IV. Electives (3)
Choose any computer science course at or above the 200 level.
One of the following courses may substitute for the computer science elective:
V. Advanced Writing Requirement (6)
The advanced writing requirement of the General Education curriculum is satisfied by successful completion of: