Data Analytics, BS
Offered in: Chicago
The Data Analytics degree teaches students how to obtain, clean, process, explore, analyze, and interpret data and how to effectively communicate the results of this process. Data Mining and Machine Learning have combined to become a force for competitive advantage. This program covers a variety of computational and statistical methods designed for using data as an enterprise asset. We emphasize computational and statistical thinking, and we focus on model building, algorithms, their implementations and how to apply existing popular implementations to real datasets. We also study how to effectively and efficiently communicate the results of the analysis using data visualization techniques. Graduates are positioned to join this growing field in a variety of professions and industries.
All students considering the Data Analytics major are highly encouraged to discuss their academic plans with faculty within the program at their earliest opportunity, even while still working with admissions or general advising.
Requirements
- Students must maintain a 2.0 GPA in the major, and must earn grades of C- or higher in all major coursework.
- At least 30 credit hours of credit must be taken at Roosevelt University, with at least 15 of these in the major.
- At least 60 credit hours in computer science, cyber security, the natural sciences, mathematics, and/or psychology.
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Because of the rapidly changing nature of this field of study, computing courses taken more than eight years ago cannot be counted towards degree requirements unless the student has been continuously registered since the time the course was taken (excluding summers).
| Code | Title | Credit Hours |
|---|---|---|
| Core | ||
| CST 150 | COMPUTER SCIENCE I | 4 |
| CST 280 | INTRODUCTION TO ALGORITHMS | 3 |
| CST 309 | DATA MINING | 3 |
| CST 310 | GAME THEORY AND APPLICATIONS | 3 |
| CST 311 | ANALYSIS OF REAL WORLD NETWORKS | 3 |
| CST 333 | DATABASE SYSTEMS | 3 |
| CST 381 | INTELLIGENT SYSTEMS | 3 |
| CST 387 | ALGORITHM DESIGN | 3 |
| MATH 349 | REGRESSION & TIME SERIES | 3 |
| Electives | 15 | |
| Select five major electives: | ||
| BIG DATA | ||
| CRYPTOGRAPHY | ||
| DEEP LEARNING | ||
| INFORMATION RETRIEVAL | ||
| DISTRIBUTED DATABASES | ||
| PROBABILITY THEORY | ||
| FINANCIAL MATH | ||
| Note: No more than 6 Credit Hours from among CST 390 Special Topics, CST 394 Internship, and/or CST 395 Independent Study. | ||
| Required Math Courses | ||
| MATH 122 | TRIGONOMETRY AND PRECALCULUS | 3 |
| MATH 217 | ELEMENTARY STATISTICS | 3 |
| MATH 231 | CALCULUS I | 5 |
| MATH 245 | DISCRETE STRUCTURES | 3 |
| MATH 246 | LINEAR ALGEBRA | 3 |
| General Education, University Writing Requirement, and Electives | ||
| Courses to total 120 | 60 | |
| Total Credit Hours | 120 | |
CORE Requirements (General Education)
| Code | Title | Credit Hours |
|---|---|---|
| First Year Success Course or Transfer Success Course | ||
| FYS 101 | FIRST YEAR SUCCESS COURSE | 1 |
| or TRS 101 | TRANSFER SUCCESS 101 | |
| Communication Requirement | ||
| ENG 101 | COMPOSITION I: CRITICAL READING & WRITING | 3 |
| ENG 102 | COMPOSITION II: INTRODUCTION TO ACADEMIC RESEARCH | 3 |
| COMM 101 | PUBLIC SPEAKING (or program specific CORE communications course) | 3 |
| Ideas of Social Justice | ||
| 3 credits in coursework categorized as Ideas. | 3 | |
| Humanities and Fine and Performing Arts | ||
| 9 credits from the following subject areas: African-American Studies, Art History, English (excluding ENG 101 and ENG 102), History, Languages, Music, Philosophy, Theatre, Communication and Women's and Gender Studies | 9 | |
| Mathematics | ||
| MATH 110 | QUANTITATIVE LITERACY (or above) 1 | 3 |
| Science | ||
| One biological science and one physical science required (one must include a one credit lab). | 7-8 | |
| Social Sciences | ||
| 9 credits from the following subject areas: African-American Studies, Anthropology, Criminal Justice, Economics, History, Journalism, Philosophy, Political Science, Psychology, Sociology and Women's and Gender Studies | 9 | |
| Experiential Learning | ||
| 6 credits from coursework categorized as Experiential Learning. | 6 | |
| Total Credit Hours | 47-48 | |
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Higher level of Math may be required by major
These quantitative requirements also apply to degrees.
- Students must earn a minimum of 120 semester hours.
- Students may apply no more than 60 credit hours of 100-level courses toward the degree.
- Students must apply no fewer than 60 credit hours of 200- and 300-level courses toward the degree.
- Students must have at least 18 credit hours (of the 60 credit hours above) at the 300 level.
- Students may transfer in no more than 70 credit hours from community colleges.
- Students earning less than 60 total hours in residence must take their final 30 hours at Roosevelt University. Note that some majors have additional requirements for RU hours.
- Students must have a grade point average of 2.0 or higher to graduate. Note that some majors have additional GPA requirements.
- Students may apply no more than 51 hours in the major (BA) or 57 hours in the major (BS)
Your degree map is a general guide suggesting courses to complete each term on the academic pathway to your degree. It is based on the most current scheduling information from your academic program. Your program’s degree map is reviewed annually and updated as schedules change (although you retain the same course requirements as long as you are continuously enrolled in your degree program).
Always work closely with your academic advisor to understand curriculum requirements and scheduling, as each student’s academic plan can look slightly different.
| Year 1 | |||
|---|---|---|---|
| Fall | Credit Hours | Spring | Credit Hours |
| ENG 101 | 3 | ENG 102 | 3 |
| FYS 101 | 1 | CST 150 | 4 |
| MATH 121 | 3 | Ideas of Social Justice | 3 |
| BIOL 111 or 1124 | 4 | Physical Science4 | 3 |
| Social Science #1 | 3 | MATH 122 | 3 |
| 14 | 16 | ||
| Year 2 | |||
| Fall | Credit Hours | Spring | Credit Hours |
| MATH 245 | 3 | MATH 246 | 3 |
| MATH 217 | 3 | CST 280 | 3 |
| COMM 101 | 3 | Social Science #3 | 3 |
| General Elective1 | 3 | Humanities #1 | 3 |
| Social Science #2 | 3 | General Elective1 | 3 |
| 15 | 15 | ||
| Year 3 | |||
| Fall | Credit Hours | Spring | Credit Hours |
| CST 333 | 3 | CST 311 | 3 |
| CST 387 | 3 | Major Elective2 | 3 |
| Major Elective2 | 3 | Major Elective2 | 3 |
| MATH 231 | 5 | Humanities #3 | 3 |
| Humanities #2 | 3 | Experiential Learning #13 | 3 |
| 17 | 15 | ||
| Year 4 | |||
| Fall | Credit Hours | Spring | Credit Hours |
| CST 309 | 3 | CST 310 | 3 |
| CST 381 | 3 | Major Elective2 | 3 |
| MATH 349 | 3 | Major Elective2 | 3 |
| Experiential Learning #23 | 3 | General Elective 1 | 3 |
| General Elective 1 | 1 | General Elective1 | 3 |
| 13 | 15 | ||
| Total Credit Hours 120 | |||
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Or course towards an optional Minor.
- 2
Major electives chosen with advisor.
- 3
Experiential Learning class must be 200/300 level. Satisfies CORE Experiential Learning requirement.
- 4
One Natural Science course must have a lab.