Program overview
Position yourself for success by maximizing the bang of the world’s data explosion. As a Data Science major at UNE, you will fuse your passions for mathematical modeling and computing with new skill sets in data analysis, data visualization, and predictive modeling. Through our unique “reverse practicums” (internships that bring the employers to you), you will become one of today’s most sought-after professionals.
Come learn and go earn with UNE’s Data Science program. You’ll establish a strong foundation in essential mathematics and computing through courses in computer programming and applied mathematics, and develop expertise in data mining, predictive modeling, and data visualization.
What is a Data Scientist?
Data science is a multidisciplinary blend of computer science, particularly algorithm development, mathematical theory, and statistical learning. Data scientists must combine these with technology in order to analyze and extract valuable knowledge and information with the purpose of decision making, policy development, trend analysis, and forecasting. To do this, data scientists build models that rely on a range of established techniques, which they must be flexible enough to adapt to new problems. Data Science is as much an art as a science! Data scientists must also be effective at communicating results. To do this, they create visualizations and “dashboards” to inform decision-makers.
Why Data Science?
Data science is one of the most in-demand career paths today. It is also among the highest-rating in terms of job satisfaction and compensation. Data scientists must use creative approaches in a wide range of interesting problems, creating beautiful visualizations and models which uncover useful intelligence for business, government, medicine and health care, and the sciences. Data scientists make impactful contributions in all fields because their work is essential for evidence-based decision-making.
Command the Power of Data in: Artificial Intelligence, Biotechnology, Counterterrorism, Finance, Health Care, Insurance, Science, Marketing and Advertising, Sports Analytics
You Will Learn: Foundational Mathematics and Computing, Data Visualization, Data Mining, Machine Learning and Statistical Modeling, Database Design, Python, SQL, R, MATLAB, Tableau, Cloud-based AI, Capstone Modeling Practicum
Why UNE for Data Science
Unlike other data science programs that offer internships, we bring the employer to you through our reverse practicums, allowing you to work under the guidance of faculty and alongside an employer-mentor on real industry projects. In our Makerspace, you will use cloud-based platforms to perform sophisticated analytics for high-tech applications, such as artificial intelligence (AI) and the Internet of Things (IoT).
- Use disruptive technologies
- Gain experience with cutting-edge business models
- Learn how to effectively communicate results
Academics
There are many ways you can navigate our Data Science degree. Because data scientists are needed in virtually every field, our curriculum is flexible to allow for a minor or a double major.
Examples of Available Courses
The following are just some examples of the exciting courses that the Data Science major offers:
- Data Visualization
- Data Analysis and Modelling
- Data Mining
- Programming
- Predictive Analytics
- Database Design and SQL
Curriculum
| CAS Core Requirements | Credits |
|---|---|
| Total | 42–46 |
| Program Required Courses | Credits |
| DSC 110 – Survey of Software Tools | 1 |
| DSC 130 – Exploring Data | 3 |
| DSC 225 – Programming I or MAT 225 – Computer Programming with MATLAB | 3 |
| DSC 260 – Data Visualization | 3 |
| DSC 301 – Introduction to Database Design/SQL | 3 |
| DSC 344 – Machine Learning | 3 |
| DSC 480 – Data Science Practicum | 3 |
| DSC 410 – Data Mining or DSC 420 – Predictive Modeling or DSC 490 – Topics in Data Science | 3 |
| MAT 120 – Statistics or MAT 150 – Statistics for Life Sciences | Credits included in Core Requirements |
| MAT 190 – Calculus I | 4 |
| MAT 220 – Linear Algebra | 3 |
| Total | 29 |
| Choose Four (4) Elective Courses | Credits |
| DSC 205 – Introduction to Data Analysis and Modeling | 3 |
| DSC 270 – Data Structures and Algorithms | 3 |
| DSC 325 – Programming II | 3 |
| GIS 364 – Spatial Data Analysis | 3 |
| MAT 195 – Calculus II | 3 |
| MAT 212 – Discrete Mathematics | 3 |
| MAT 323 – Applied Regression Analysis | 3 |
| MAT 340 – Graph Theory with Applications | 3 |
| MAT 405 – Introduction to Numerical Analysis | 3 |
| Total | 12 |
| Minimum Program Credits | 41 |
| Open elective credits (as needed to reach 120 credits) | Variable |
| Minimum Required Total Credits | 120 |
To learn more about the program visit the Academic Catalog.
UNE Alumna Destiny Martin on Careers in Math and Data Science
Careers
With the analytical skills and competencies you gain from your coursework and the business acumen you acquire from close working relationships with faculty and industry partners, you will be well on your way to an exciting career in data science.
Graduates may pursue many fascinating professions, including:
- Data Scientist
- Business Analyst/Intelligence Specialist
- Computer Programmer
- Data Journalist
- Database Administrator
- Health Care Analytics Specialist
- Market Research Analyst
- Medical Research Consultant
- Web Analytics Specialist
- Political/Policy Analyst
Career Advising
Whether you have a specific career goal in mind or a vague idea of the field that interests you, Career Advising is here to help you plan your next step.
Data Science By The Numbers
ranked #1 job based on earnings potential, job satisfaction, and job openings
(Glassdoor.com, 2016–19)
average junior position salary
(Glassdoor.com)
Experiential Learning
Our industry partnerships with local employers give you real-world experience, presenting you with actual problems that businesses face. These relationships may even pave the way to permanent employment. At UNE, you don’t just learn data science — you do data science.
Reverse Practicums
Our unique reverse practicums are internships that put you in the shoes of a consultant. You’ll meet regularly with an employer-mentor as you work on real data science modeling problems. Partnering employers include:
- Government Agencies
- Private Laboratories
- Research Facilities
- Banks
- Financial Companies
- Schools
- Tutoring Centers
- Insurance Agencies
- Hospitals