The 91女神 Bachelor of Science in Data Science is an interdisciplinary program supported by the Department of Computer Science and the Department of Mathematics and Statistics. 91女神's curriculum is modeled upon guidelines for undergraduate programs in data science as endorsed by the American Statistical Association's Board of Directors. Classes are small and are taught by enthusiastic instructors.
Curriculum Overview
The B.S. in data science is among the most rigorous degrees offered at 91女神. This program combines carefully selected computer science, statistics and mathematics courses with four semesters of practica and capstone experiences. The result is an education rooted in the fundamentals but that also provides hands-on experience with cleaning, visualizing, analyzing and reporting on data. Students choose electives within the major to specialize in the computer science or statistical aspects of data science.听
Fieldwork and Research Opportunities
Faculty in the data science program do research in machine learning, natural language processing, time series, topological data analysis, and in other areas of statistics, computer science and mathematics.
There are multiple research, internship and consulting opportunities for students in the data science program. Past students have done cross-disciplinary work with ArchCity Defenders, the Department of Sociology, the Department of Languages, Literature and Cultures, the Department of English and the Medical School Liver Center, while others have done work in data science itself, doing research with faculty within the departments of Mathematics and Statistics, the Department of Computer Science and the Lincoln Lab at MIT, among others.
The 91女神 Data Science Club provides students with an opportunity to practice their predictive modeling in competitions. Some competitions are hosted locally by 91女神 solely for students at 91女神, while others pit 91女神 students against students and professionals from across the world.
Careers
The McKinsey Report estimated that the United States would face a shortfall of 140,000 to 190,000 people with deep analytical skills, while also needing 1.5 million managers and analysts with the know-how to make decisions based on the analysis of big data.
The Harvard Business Review calls data scientist "the sexiest job of the 21st century,鈥� and Glassdoor has ranked data scientist as the No. 1 overall job in the USA in terms of the number of job openings, earning potential and career opportunities rating. Data is being produced in many places, and companies need employees who can analyze the data and communicate the results. Students with a B.S. in data science will be well-positioned to work in technology, government, research and consulting fields, among others.听
Admission Requirements
91女神 also accepts the Common Application.
Freshman
All applications are thoroughly reviewed with the highest degree of individual care and consideration to all credentials that are submitted. Solid academic performance in college preparatory coursework is a primary concern in reviewing a freshman applicant鈥檚 file.
To be considered for admission to any 91女神 undergraduate program, applicants must be graduating from an accredited high school, have an acceptable HiSET exam score or take the General Education Development (GED) test.听
Transfer
Applicants must be a graduate of an accredited high school or have an acceptable score on the GED.
Students who have attempted fewer than 24 semester credits (or 30 quarter credits) of college credit must follow the above freshmen admission requirements. Students who have completed 24 or more semester credits (or 30 quarter credits) of college credit must听submit transcripts from all previously attended college(s).
In reviewing a transfer applicant鈥檚 file, the Office of Admission holistically examines the student鈥檚 academic performance in college-level coursework as an indicator of the student鈥檚 ability to meet the academic rigors of 91女神. Where applicable, transfer students will be evaluated on any courses outlined in the continuation standards of their preferred major.
International Applicants
All admission policies and requirements for domestic students apply to international students along with the following:
- Demonstrate English Language Proficiency
- Proof of financial support must include:
- A letter of financial support from the person(s) or sponsoring agency funding the time at 91女神
- A letter from the sponsor's bank verifying that the funds are available and will be so for the duration of study at the University
- Academic records, in English translation, of students who have undertaken post-secondary studies outside the United States must include the courses taken and/or lectures attended, practical laboratory work, the maximum and minimum grades attainable, the grades earned or the results of all end-of-term examinations, and any honors or degrees received. WES and ECE transcripts are accepted.
Tuition
| Tuition | Cost Per Year |
|---|---|
| Undergraduate Tuition | $54,760 |
Additional charges may apply. Other resources are listed below:
Information on Tuition and Fees
Scholarships and Financial Aid
There are two principal ways to help finance a 91女神 education:
- Scholarships: Scholarships are awarded based on academic achievement, service, leadership and financial need.
- Financial Aid: Financial aid is provided through grants and loans, some of which require repayment.
91女神 makes every effort to keep our education affordable. In fiscal year 2023, 99% of first-time freshmen and 92% of all students received financial aid and students received more than $459 million in aid University-wide.
For priority consideration for merit-based scholarships, apply for admission by December 1 and complete a Free Application for Federal Student Aid (FAFSA) by March 1.
For more information on scholarships and financial aid, visit the Office of Student Financial Services.
- Graduates will be able to use programming and other computer science skills to analyze and interact with data.
- Graduates will be able to apply statistics to analyze data sets.
- Graduates will be able to acquire and manage complex data sets.
- Graduates will be able to use technical skills in predictive modeling.
- Graduates will be able to visualize data to facilitate the effective presentation of data-driven insights.
| Code | Title | Credits |
|---|---|---|
| University Undergraduate Core | 32-35 | |
| Major Requirements | ||
| 颁厂颁滨听1070 | Introduction to Computer Science: Taming Big Data | 3 |
| 颁厂颁滨听1300 | Introduction to Object-Oriented Programming | 4 |
| 颁厂颁滨听2100 | Data Structures | 4 |
| 颁厂颁滨听4710 | Databases | 3 |
| 颁厂颁滨听4750 | Machine Learning | 3 |
| Mathematics/Statistics Requirements | ||
| 惭础罢贬听1510 | Calculus I | 4 |
| 惭础罢贬听1520 | Calculus II | 4 |
| 惭础罢贬听1660 | Discrete Mathematics | 3 |
| 惭础罢贬听2530 | Calculus III | 4 |
| 惭础罢贬听3110 | Linear Algebra for Engineers | 3 |
| 辞谤听惭础罢贬听3120 | Introduction to Linear Algebra | |
| 厂罢础罢听3850 | Foundation of Statistics | 3 |
| 厂罢础罢听4870 | Applied Regression | 3 |
| 厂罢础罢听4880 | Bayesian Statistics and Statistical Computing | 3 |
| Data Science Integration Requirements | ||
| 顿础罢础听1800 | Data Science Practicum I | 1 |
| 顿础罢础听2800 | Data Science Practicum II | 1 |
| 顿础罢础听4961 | Capstone Project I | 2 |
| 顿础罢础听4962 | Capstone Project II | 2 |
| Major Electives | 12 | |
Select four courses, must include at least two CSCI courses and at least one STAT course, from the following: | ||
颁厂颁滨听2300 | Object-Oriented Software Design | |
颁厂颁滨听2500 | Computer Organization and Systems | |
颁厂颁滨听2510 | Principles of Computing Systems | |
颁厂颁滨听3100 | Algorithms | |
颁厂颁滨听3300 | Software Engineering | |
颁厂颁滨听4610 | Concurrent and Parallel Programming | |
颁厂颁滨听4620 | Distributed Computing | |
颁厂颁滨听4740 | Artificial Intelligence | |
颁厂颁滨听4760 | Deep Learning | |
颁厂颁滨听4830 | Computer Vision | |
颁厂颁滨听4845 | Natural Language Processing | |
厂罢础罢听4800 | Probability Theory | |
厂罢础罢听4840 | Time Series | |
厂罢础罢听4850 | Mathematical Statistics | |
| General Electives | 24-27 | |
| Total Credits | 120 | |
Non-Course Requirements
All Science and Engineering B.A. and B.S. students must complete an exit interview/survey near the end of their bachelor's program.听
Continuation Standards
Students must have a minimum of a 2.00 cumulative GPA in data science major courses by the conclusion of their sophomore year, must maintain a minimum of 2.00 cumulative GPA in these courses at the conclusion of each semester thereafter, and must be registered in at least one data science听course counting toward their major in each academic year (until all requirements are completed).
Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollment听unless otherwise noted. 听
Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.
This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester. Requirements, course availability and sequencing are subject to change.
| Year One | ||
|---|---|---|
| Fall | Credits | |
| 颁厂颁滨听1070 | Introduction to Computer Science: Taming Big Data 鈥� | 3 |
| 惭础罢贬听1660 | Discrete Mathematics | 3 |
| 惭础罢贬听1510 | Calculus I (Critical course: 听蝉补迟颈蝉蹿颈别蝉 颁翱搁贰听3200) 鈥� | 4 |
| 颁翱搁贰听1000 | Ignite First Year Seminar | 2 |
| 颁翱搁贰听1500 | Cura Personalis 1: Self in Community | 1 |
| 颁翱搁贰听1900 | Eloquentia Perfecta 1: Written and Visual Communication | 3 |
| 听 | Credits | 16 |
| Spring | ||
| 颁厂颁滨听1300 | Introduction to Object-Oriented Programming 鈥� | 4 |
| 惭础罢贬听1520 | Calculus II 鈥� | 4 |
| 顿础罢础听1800 | Data Science Practicum I 鈥� | 1 |
| CORE听1600 | Ultimate Questions: Theology | 3 |
| General Electives | 3 | |
| 听 | Credits | 15 |
| Year Two | ||
| Fall | ||
| 颁厂颁滨听2100 | Data Structures 鈥� | 4 |
| 惭础罢贬听2530 | Calculus III | 4 |
| CORE听1200 | Eloquentia Perfecta 2: Oral and Visual Communication | 3 |
| CORE听1700 | Ultimate Questions: Philosophy | 3 |
| 听 | Credits | 14 |
| Spring | ||
| 厂罢础罢听3850 | Foundation of Statistics | 3 |
| 顿础罢础听2800 | Data Science Practicum II | 1 |
| CSCI Elective | 3 | |
| 惭础罢贬听3110 | Linear Algebra for Engineers | 3 |
| CORE听2500 | Cura Personalis 2: Self in Contemplation | 0 |
| CORE听3800 | Ways of Thinking: Natural and Applied Sciences | 3 |
| General Electives | 3 | |
| 听 | Credits | 16 |
| Year Three | ||
| Fall | ||
| 颁厂颁滨听4710 | Databases | 3 |
| 厂罢础罢听4880 | Bayesian Statistics and Statistical Computing | 3 |
| CORE听2800 | Eloquentia Perfecta 3: Creative Expression | 3 |
| CORE听3400 | Ways of Thinking: Aesthetics, History, and Culture | 3 |
| General Elective | 3 | |
| 听 | Credits | 15 |
| Spring | ||
| 厂罢础罢听4870 | Applied Regression | 3 |
| 颁厂颁滨听4750 | Machine Learning | 3 |
| CORE听3600 | Ways of Thinking: Social and Behavioral Sciences | 3 |
| General Electives | 6 | |
| 听 | Credits | 15 |
| Year Four | ||
| Fall | ||
| 顿础罢础听4961 | Capstone Project I | 2 |
| CSCI/STAT Electives | 6 | |
| CORE听3500 | Cura Personalis 3: Self in the World | 1 |
| General Electives | 6 | |
| 听 | Credits | 15 |
| Spring | ||
| 顿础罢础听4962 | Capstone Project II | 2 |
| CSCI/STAT Elective | 3 | |
| General Electives | 9 | |
| 听 | Credits | 14 |
| 听 | Total Credits | 120 |
- 鈥�
Students must earn a C- or better.
- 鈥�
Strongly recommended for capstone
Program Notes
鈥� 厂罢础罢听3850 Foundation of Statistics (3 cr) and 颁厂颁滨听2100 Data Structures (4 cr) are crucial to this program, as they serve as prerequisites for all of the upper division STAT and CSCI courses. As such, they should be taken as soon as reasonably possible.
鈥� Possible STAT electives include 厂罢础罢听4840 Time Series (3 cr), MATH听4800 Probability Theory (3 cr) and 厂罢础罢听4850 Mathematical Statistics (3 cr).
鈥� Possible CSCI electives include 颁厂颁滨听2300 Object-Oriented Software Design (3 cr), 颁厂颁滨听3100 Algorithms (3 cr), 颁厂颁滨听3300 Software Engineering (3 cr), 颁厂颁滨听4610 Concurrent and Parallel Programming (3 cr), 颁厂颁滨听4620 Distributed Computing (3 cr), 颁厂颁滨听4740 Artificial Intelligence (3 cr), 颁厂颁滨听4760 Deep Learning (3 cr), 颁厂颁滨听4830 Computer Vision (3 cr), and 颁厂颁滨听4845 Natural Language Processing (3 cr).
鈥� At least one elective must have a STAT designator and at least two electives must have a CSCI designator.
鈥� Twelve hours of CSCI/STAT electives are required.
2+91女神 programs provide a guided pathway for students transferring from a partner institution.听