B.I.S. Interdisciplinary Studies Program Map
Data Science Pathway
This pathway offers a blend of Statistics and Computer science. Students will build skills in statistical analysis and software development, data exploration, visualization, modeling, and model evaluation and interpretation to solve real-world problems. Students will be exposed to contemporary programming languages and cloud-based technologies that enhance data science and machine learning capabilities.
Stats
60
Core Credit Hours
40
Major Credit Hours
20
Elective Credit Hours
Plan Your Degree
Disclaimer: This program map is intended ONLY as a guide for students to plan their course of study. It does NOT replace any information in the Undergraduate Catalog, which is the official guide for completing degree requirements.
| Course Name | Credit Hours |
|---|---|
|
C1: ENGL 1101
English Composition I |
3 |
|
M: MATH 1113
Precalculus |
4 |
|
T3: CS 1300
Intro to Computer Science |
4 |
|
I1: Written and Oral Communications |
3 |
Milestones:
- Complete ENGL 1101 with a C or better
- Complete MATH 1113 with a C or better
- A credit from MATH 1113 and CS 1300 each count as Major Elective Credits
| Course Name | Credit Hours |
|---|---|
|
C2: ENGL 1102
English Composition II |
3 |
|
F: MATH 1634
Calculus I |
3 |
|
I2: XIDS 2002
(Recommended) First-Year Seminar |
2 |
|
T1: Science + Lab |
4 |
|
S2: Social Science |
3 |
Milestones:
- Complete ENGL 1102 with a C or better
- Complete MATH 1634 with a C or better
- Complete lab science
14 Fall Credit Hours + 16 Spring Credit Hours = 30 Credit Hours
| Course Name | Credit Hours |
|---|---|
|
P1: HIST 2111 OR 2112
US History |
3 |
|
P2: POLS 1101
American Government |
3 |
|
F: CS 1301
Computer Science I |
4 |
|
F: MATH 2644
Calculus II |
4 |
|
A: Arts, Humanities, Ethics |
3 |
Milestone:
- Complete CS 1301 with a B or better
| Course Name | Credit Hours |
|---|---|
|
S1: HIST 1111 OR 1112
World History |
3 |
|
MATH 4203
Mathematical Probability |
3 |
|
F: MATH 2853
Elementary Linear Algebra |
3 |
|
CS 1302
Computer Science II |
4 |
|
A: Arts, Humanities, Ethics |
3 |
Milestones:
- Complete CS 1302 with a B or better
- Complete BIS Degree Plan and submit to Registrar.
17 Fall Credit Hours + 16 Spring Credit Hours = 33 Credit Hours
| Course Name | Credit Hours |
|---|---|
|
MATH 3003
Transition to Advanced Math |
3 |
|
CS 3280
Systems Programming |
3 |
|
Elective
3000/4000 level elective course |
3 |
|
F: XIDS 2000 OR Elective
Intro to Interdisciplinary Studies (See note below) |
3 |
|
T2: Non-lab Science |
3 |
Milestone:
- Finish core courses.
Note:
- XIDS 2000 is offered in the Spring during even years and in the Fall during odd years.
| Course Name | Credit Hours |
|---|---|
|
MATH 4483
Graph Theory |
3 |
|
CS 3151
Data Structures and Discrete Math I |
3 |
|
CS 3270
Intelligent Systems |
3 |
|
XIDS 3000
Interdisciplinary Methods |
3 |
|
F: XIDS 2000 OR Elective
Intro to Interdisciplinary Studies (See note below) |
3 |
Milestones:
- Meet with Disciplinary Mentors about Degree Plan and Capstone Project
- Submit plan for capstone project
Note:
- XIDS 2000 is offered in the Spring during even years and in the Fall during odd years.
15 Fall Credit Hours + 15 Spring Credit Hours = 30 Credit Hours
| Course Name | Credit Hours |
|---|---|
|
MATH 4213
Mathematical Statistics |
3 |
|
CS 4725
Foundations of Machine Learning |
3 |
|
MATH 4803
Analysis of Variance |
3 |
|
Elective
3000/4000 level elective course |
3 |
|
Elective |
3 |
Milestone:
- Finish Capstone proposal/plan in XIDS 3000
| Course Name | Credit Hours |
|---|---|
|
XIDS 4000
Interdisciplinary capstone |
3 |
|
MATH 4813
Regression Analysis |
3 |
|
Elective |
3 |
|
Elective |
3 |
Milestone:
- Complete Capstone Project, submit in XIDS 4000
15 Fall Credit Hours + 12 Spring Credit Hours = 27 Credit Hours
Crush Your Course
First Year:
- Make sure to take XIDS 2000: Introduction to Interdisciplinary Studies to start your intellectual, boundary-crossing journey!
- Discover your interests in your core classes. These can help you establish your disciplines.
Middle Years:
- Work with your IDS professors in XIDS 3000 to establish your degree plan, including identifying your complex problem and exploring how and what disciplines can help inform your inquiry.
Last Year:
- This is the time for your XIDS capstone! Make sure you have 9 hours of 3000-4000-level coursework for each of your two disciplines!
Find Your Place
First Year:
- Check out UWG’s Academic Transition Programs and take a cornerstone course (XIDS 2002).
- Explore events, clubs, and organizations available to you! Let the program and/or disciplines you’ve identified guide your search.
- Visit the Office of Undergraduate Research.
Middle Years:
- Attend UWG Scholars’ Day.
- Check out what university associations and community organizations relate to your disciplines.
Last Year:
- Hone your leadership skills by mentoring new IDS majors!
- Consider running for an officer position in a student organization.
Broaden Your Perspectives
First Year:
- Check out the education abroad office.
Middle Years:
- Consider a study abroad program. Check out students’ stories of their experiences.
Last Year:
- Assess your cultural competency.
- Consider working abroad and research visa regulations.
- Explore practices of creating more inclusive careers.
Connect Off-Campus
First Year:
- Visit Wolves Vote to learn about the voting process and registration.
- Consider volunteering for a campaign or organization in your community.
Middle Years:
- Complete an internship in your field.
- Consider a summer or part-time job.
- Ask your department about networking opportunities with alumni.
Last Year:
- Ask for advice from professionals in your field of interest.
- Explore career shadowing opportunities.
Take Care of Yourself
First Year:
- Visit Health Services.
- Get fit! Visit URec to see all your options.
- Visit the Center for Economic Education and Financial Literacy.
Middle Years:
- Take a fitness class, climb the rock wall, or join an intramural team.
- Consider whether counseling is right for you: take a mental health screening.
Last Year:
- Explore a farmer’s market for fresh produce.
- Develop a post-graduation exercise plan.
- Explore your loan repayment options and complete your exit counseling.
Pave Your Path
First Year:
- Complete a self-assessment to see what careers and majors are right for you.
- Visit Career Services.
- Create your profile on Handshake.
- Consider applying for an on-campus job.
Middle Years:
- Draft your resume and attend a resume blitz.
- Learn about how to network on social media and update your Handshake profile.
- Draft your personal statement.
- Visit the graduate school to find out about graduate programs and admission requirements.
Last Year:
- Request references from professors and supervisors.
- Draft your resume cover letter and personal statement and revise it with career services.
- Attend business fairs and career fairs at UWG and across the state.
- Attend an interview workshop.
- Apply for graduate programs.
Careers
Career Opportunities
This degree may help you get work as the following:
- Applications Architect
- Business Intelligence Developer
- Data Architect
- Data Engineer
- Data Scientist
- Enterprise Architect
- Infrastructure Architect
- Machine Learning Engineer
- Machine Learning Scientist
- Statistician
Requirements
Degree Requirements
IDS MAJORS
All IDS majors complete an XIDS course sequence through which they learn interdisciplinary concepts and method, culminating with a capstone project that reflects their intellectual and career interests:
- XIDS 2000 - Introduction to Interdisciplinary Studies
- XIDS 3000 - Interdisciplinary Methods
- XIDS 4000 - Interdisciplinary Capstone
Pathway requirements
Pathway Requirements
Courses in red are required for the Data Science Certificate
Discipline 1 - Mathematics
Foundational 1000/2000-level course (counted in area F):
- Math 2853 (3 credits)
- Math 2644 (4 credits)
Major Foundation Courses (6 credits):
- Math 3003 Transition to Advanced Math
- Math 4203 Mathematical Probability (prereq: Math 2644)
Major Required Courses (12 credits):
- Math 4213 Mathematical Statistics (prereq: Math 4203)
- Math 4803 Analysis of Variance (prereq: Math 4203)
- Math 4813 Regression Analysis (prereq: Math 4203)
- Math 4483 Graph Theory (prereq: Math 3003)
Discipline 2 - Computer Science
Foundational 1000/2000-level course (counted in area F):
- CS 1301 Computer Science I (4 credits) [prereq: Math 1113 (>=C) OR Math 1112 (>= C)]
- CS 1300 Intro to CS in Python (4 credits) [no prereqs]
Major Foundation Courses (4 credits):
- CS 1302 Computer Science II (4 credits) [prereq: CS 1301, >= B]
Major Required Courses (13 credits):
- CS 3270 Intelligent Systems [prereq: CS 1302 (>= B)]
- CS 3280 Systems Programming [prereq: CS 1302 (>= B)]
- CS 3151 Data Structures and Discrete Math I [prereq: CS 1302 (>= B)]
- CS 4725 Foundations of Machine Learning [prereq: CS 3270 &
pre/co-requisites MATH 4203]
Suggested Courses
19 credits from other courses (including minors and electives, etc.), but must have at least 9 credits from 3000/4000 levels. Here are some suggestions.
Electives:
- Math 4013 Numerical Analysis
- Math 4823 Applied Experimental Design
- Math 4833 Applied Nonparametric Statistics
- Math 4843 Introduction to Sampling
- CS 3152 Data Structures and Discrete Math II
- CS 3211 Software Engineering I
- CS 3230 Information Management
- CS 4225 Distributed and Cloud Computing
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Have any questions about your major?
Don't forget to check out Wolf Watch to explore degree requirements!