Data Science
Data Science Program Overview
The Bachelor of Arts (BA) in Data Science program is designed with the flexibility to pursue a second major, minors, and unique electives, while the Bachelor of Science (BS) in Data Science entails deeper dives into math and science skills in a handful more credits.
Manhattanville’s data science degree programs will teach you the range of skills involved in modern data science. In both traditional classroom settings and research environments, you’ll work with tabular data from finance, the social sciences, and the natural sciences, as well as image data from medicine and text data from social media.
Manhattanville’s research-driven curriculum includes projects and internship opportunities that allow data science majors to explore the ways data can affect change and learn how to effectively communicate the meaning behind data sets to stakeholders and the community.
Data science majors can decide to pursue a Bachelor of Arts (BA) in Data Science or a Bachelor of Science (BS) in Data Science. Within each data science program, degree requirements allow students to construct their own curriculum through their selection of electives, second majors, and research project topics.
Graduates of both the BA and BS in Data Science degree programs gain marketable skills through an ethical, global approach to general education and through the technical implementation of skills learned in the classroom.
Totaling at least 120 credit hours, the data science bachelor’s degree curriculum consists of foundational and advanced coursework and culminates in a Senior Evaluation research project. In your final year, you’ll research, propose, and actually develop a piece of deliverable software by the end of spring semester.
BA in Data Science Degree Requirements
The Bachelor of Arts (BA) in Data Science degree program is designed to be well-rounded
and flexible enough for you to choose to pursue a second major, such as Economics,
Psychology, or Finance.
If you pursue the BA in Data Science, you’ll take a number of required data science courses, covering topics like:
- Computational methods and relevant math skills
- Data structures and programming tools
- Research methods in data science
- Machine learning
In addition to the required data science courses, other Bachelor of Arts degree requirements include:
- Completion of Manhattanville’s general education curriculum
- 90 credits fulfilling liberal arts subjects credit requirements
- Senior Evaluation project
Check out the Manhattanville Catalog to find BA in Data Science required courses and review general education requirements.
BS in Data Science Degree Requirements
In the Bachelor of Science (BS) in Data Science program, major requirements include
a deeper dive into the workings of machine learning and the mathematical foundations
of data science.
Students choosing the BS in Data Science degree program should expect to cover the required foundational data science curriculum, as well as receive further instruction in algorithms, software tools, and database design.
BS in Data Science degree requirements include:
- Additional calculus and probability courses
- Completion of Manhattanville’s general education curriculum
- 60 credits to fulfill liberal arts credit requirements
- Senior Evaluation project
Employers in nearly every industry seek data scientists and analysts to bring clarity to business decisions or policy initiatives. With options to tailor the focus of your bachelor’s degree, Manhattanville’s data science programs enable graduates to:
- Demonstrate proficiency in the computational aspects of data science, including computer programming and data storage systems.
- Demonstrate proficiency in the data analysis aspects of data science, including statistical foundations and a range of data science techniques.
- Demonstrate grounding in a domain area by completing a significant research effort in their chosen domain area.
As a data science major, you will gain skills essential to careers in data science, such as:
- Computer programming for data gathering, cleaning, and transformation
- Mathematics and statistics for foundational data analysis
- Machine learning for developing prediction models
- Communication skills for presenting your work to others
Through the BA in Data Science or BS in Data Science programs, you will be prepared to work as a data scientist or data analyst in businesses, research institutions, or public policy organizations, or pursue graduate education in data science.
If you’re considering a degree in the intersection of technology, science, and analytical skills, bachelor’s and master’s programs beyond the BA or BS in Data Science include:
- BA/BS Computer Science
- BA Mathematics
- MAT Computer Science Education
Minor Programs
Adding a minor to your bachelor’s degree in data science can add skills attractive
to future employers, like coding, advanced math, or insight from a related subject.
Please visit the Manhattanville Catalog for complete descriptions
Data Science Minor Requirements
| MATH.1110 | Introduction to Statistics |
3 |
| MAC.1006 | Computational Thinking |
4 |
| MAC.2060 | Introduction to Data Science |
3 |
| Choose two of the following: | ||
| MATH.2060 | Mathematics for Data Science |
3 |
| MAC.3045 | Natural Language Processing |
3 |
| MAC.3075 | Computation in Data Science |
3 |
| MAC.3100 | Foundations of Deep Learning |
3 |
| ENC.2000 | Critical Research and Composition |
3 |
Among others, Manhattanville offers:
- Minor in Computer Science
- Minor in Mathematics
Whether you pursue the BA or BS in Data Science, you’ll have access to state-of-the-art facilities and opportunities to work on real-world projects through Data Lab, part of Manhattanville’s Center for Design Thinking.
The Data Lab is a place where faculty and students meet weekly to work on data science projects and grow their skills. Students work on projects that have been brought to the Data Lab by external organizations or the college’s own faculty or staff. If a project is accepted by the Data Lab, it will be assigned a faculty mentor from the Data Science program and students will be invited to join it. Students learn and apply Design Thinking in the course of doing the project. The work is credited as an internship by the college.
Faculty in the Data Lab are happy to advise students who wish to do an Independent Study in the Data Lab, or co-advise Senior or Capstone projects.
With insight from interdepartmental faculty and fellow students in Data Lab, data science majors can hone their skills using all of Manhattanville’s resources—the spaces at the Center for Design Thinking, the servers and GPUs of the Computer Science program, and the experienced faculty in the Data Science program.
If you’re a newcomer to machine learning, we’ll be happy to help you learn and even help those interested in an Independent Study or Senior or Capstone project related to Data Lab.
For more information, please contact Dr. Jonathan Munson.
Full-Time Faculty
Dr. Mia Heissan
Adjunct Faculty
Craig Tunks
George Psihountas
Please contact any of the above faculty or the Division Chair for more information
or our Division Chair:
Christopher J. Pappas
Christopher.Pappas@mville.edu
914.323.1276
If you’re excited to begin a career managing data systems or using data to find insight into complex topics, or you intend to apply to postgraduate degree programs in data science, our data science bachelor’s degrees set you up with the skills and applied knowledge you need. Learn how to apply to Manhattanville as a first-year or transfer student and review available financial aid and scholarship information.
Earn a BA or BS in Data Science at Manhattanville University
Manhattanville’s bachelor’s degrees in data science enable you to bridge the gap between
raw data and meaningful decisions, whether your goals lie in public policy, research,
or in supporting the success of a business or organization.
Take the first step toward majoring in data science by requesting information about Manhattanville data science degree programs, scheduling a campus visit, or simply starting your application.
