Mihaela Sabin
Chair
Graduate Coordinator
PROFESSOR
Analytics and Data Science Major: Data Science Option (B.S.)
Analytics and Data Science Major: Data Science Option (B.S.)
Shaping the next generation of data revolutionaries
THIS MAJOR IS OFFERED ON BOTH THE MANCHESTER AND DURHAM CAMPUSES
With an explosion of big data initiatives in organizations worldwide, the demand for data-savvy individuals has never been higher. The Analytics and Data Science program is the only on-campus degree of its kind in the region, specifically designed to prepare the next generation of innovative data scientists and analysts.
Your interests inspire what you study, allowing you to focus your education with degree options in:
- Analytics, which centers on the applications of data science in industry. This option can be fully completed at both the Manchester and Durham campuses.
- Data Science, which emphasizes the theoretical, mathematical and computational underpinnings of modern data science. This option requires some courses currently offered only at the Durham campus.
With the hands-on experience you'll get through applied projects, internships and field work, you’ll gain cutting-edge technical skills and a competitive advantage in this rapidly growing field.
What is the data science option in analytics and data science?
The analytics and data science field affects nearlyall aspects of the economy, societyand daily life. The data science focus of the field gives you the skills and knowledge to pursue original research or an advanced degree in data science. You’ll gain a deep understanding of concepts from mathematics andcomputer science such as probability theory, statistical analysis, predictive modeling, algorithms, machine learning and data science.Emphasizing the theoretical, mathematical and computational underpinnings of modern data science, you’ll graduate prepared tomeet workforce demand in industry, academia and government.
Why study analytics and data science at UNH Manchester?
The analytics and data science program at UNH Manchester integrates experiential learning, professional development and applied projects, giving you real-world experience at local companies, nonprofits and government agencies. You’ll learn to manage, distill and interpret data for industries from finance to healthcare, marketing and advertising. Applying a strong programming skill set,you will derive actionable information from authentic data sets. With our small class sizes, close interaction with faculty and ties to industry in the bustling Manchester Millyard, the program prepares graduates for a wide array of careers or professionally oriented graduate programs.
Potential careers
- Actuary
- Business analyst
- Data engineer
- Data scientist
- Machine learning engineer
- Management analyst
- Market research analyst
- Operations research analyst
- Statistician
- Quantitative analyst
Contact
NEW ENGLAND RESIDENTS
Connecticut, Maine, Rhode Island and Vermont do not offer a bachelor's-level analytics program in their public universities, so students from these states can enroll in UNH's program at a reduced tuition rate.
PROGRAM LOCATIONS
Analytics and data science is offered at both the Manchester and Durham campuses.
Curriculum & Requirements
https://manchester.unh.edu/program/bs/analytics-data-science-major-data-science-option
The option in Data Science is intended for students interested in pursuing advanced degrees and conducting original research in data science. The option in data science places its emphasis on a rigorous introduction to the theoretical mathematical and computational underpinnings of modern data science.
Program Objectives
This program has been designed to prepare students for professional careers working with data, with an emphasis on the extraction of meaning from data. The program is not targeted to any one industry; rather, it provides a flexible, practical skillset that can be applied widely. This skillset includes elements of computer science, applied mathematics and statistics, communication skills, and business savvy. Graduates of the bachelor of science in analytics and data science program are expected to have:
- An understanding of the role of data in guiding decision-making in industry
- An understanding of how data is generated, stored, and accessed
- An understanding of data security
- An understanding of the ethical use of data
- An understanding of structured vs. unstructured data
- An understanding of the methods, statistical and other, used to derive actionable information from data
- Experience with multiple programming languages
- Experience with multiple statistical and data analysis software programs
- The ability to communicate detailed, technical information to a variety of audiences clearly and concisely, without the use of jargon
- The ability to work effectively, both as an individual or as a member of a team
- The ability to successfully lead a team
- The ability to adapt to a dynamic, rapidly changing work environment
- Completed projects and other work experiences on a larger scale than is typical in a bachelor's degree program.
During the course of the program, students will demonstrate their acquisition of these skills by successfully completing their program coursework, their internship experience, and their capstone project.
Successful completion of the program entails earning at least 128 credits, meeting the requirements of the University's Discovery program, and completing all of the 18 required courses in the major as listed below. In all major courses, the minimum allowable grade is a C-. The minimum overall GPA for graduation is 2.0. Transfer students may transfer up to a maximum of 32 credits to satisfy major requirements (not counting those courses used to satisfy Discovery requirements).
Students who enroll in the Data Science Option may need to take some required courses on the Durham campus.
Program Requirements
| Code | Title | Credits |
|---|---|---|
| Mathematics | ||
| MATH 425 | Calculus I | 4 |
| MATH 426 | Calculus II | 4 |
| MATH 528 | Multidimensional Calculus | 4 |
| MATH 531 | Mathematical Proof | 4 |
| COMP 570 | Statistics in Computing and Engineering | 4 |
| MATH 645 | Linear Algebra for Applications | 4 |
| MATH 738 | Data Mining and Predictive Analytics | 4 |
| MATH 755 | Probability with Applications | 4 |
| MATH 756 | Principles of Statistical Inference | 4 |
| DATA 790 | Capstone Project | 4 |
| Computing | ||
| COMP 424 | Applied Computing 1: Foundations of Programming | 4 |
| COMP 525 | Data Structures Fundamentals | 4 |
| COMP 625 | Data Structures and Algorithms | 4 |
| CS 659 | Introduction to the Theory of Computation | 4 |
| COMP 740 | Machine Learning Applications and Tools | 4 |
| CS 758 | Algorithms | 4 |
| COMP 720 | Database Systems and Technologies | 4 |
| Analytics & Data Science | ||
| DATA 557 | Introduction to Data Science and Analytics | 4 |
| English | ||
| ENGL 502 | Professional and Technical Writing | 4 |
For additional information about the Analytics and Data Science: Data Science Option, contact Mihaela Sabin, program coordinator, at Mihaela.Sabin@unh.edu or contact the UNH Manchester Office of Admissions at (603) 641-4150.
Explore Program Details
A GPU computing cluster is under construction, made possible with a recent grant from NVIDIA, the world leader in visual computing. The state-of-the-art cluster will allow students to analyze medical imagery, explore models of speech and leverage GPU computing and CUDA C/C++ in their courses.
With expanded education and research in deep learning, computer vision and speech recognition, students will get the tools and techniques to power the next generation of technological innovation.
Your analytics and data science degree from UNH Manchester will put you at the forefront of one of the fastest growing fields in the country.
The McKinsey Global Institute indicates that by 2018, the U.S. will face a shortage of 140,000 to 190,000 people with the technical skills necessary to work effectively with data. But the demand for qualified analytics professionals is also skyrocketing globally, with the Education Advisory Board documenting a 32 percent increase in demand for college graduates with data analytics skills from 2010 to 2013.
That growing demand translates into high employment rates and starting salaries, particularly for graduates well-versed in SAS software — which is a core component of our program. Whether you envision a career in business, technology, healthcare, sports or beyond, your data analytics skills will allow you to discover new perspectives and solutions, making your work all the more rewarding.
The demand for data-savvy graduates is growing, with the Bureau of Labor Statistics projecting positive growth in many related professions between 2012 and 2024. Not only are your career possibilities vast, but many also come with lucrative salaries.
| Job Title | Projected Growth | Median Salary |
| Actuary | 18% | $97,070 |
| Budget Analyst | 3% | $71,590 |
| Market Research Analyst | 19% | $62,150 |
| Management Analyst | 14% | $81,320 |
| Market Research Analyst | 19% | $62,150 |
| Operations Research Analyst | 30% | $78,630 |
| Statistician | 34% | $80,110 |
Our campus is in the heart of the region’s cultural, economic, entertainment and government activity — putting unlimited internship opportunities at your doorstep.
The program is constructed to incorporate experiential learning into all courses, from start to finish, so we’ve partnered with local businesses to give you the real-world experience that sets you apart. Analytics majors have access to internships at many high-profile organizations in the area, including:
- Dyn
- Fidelity Investments
- Liberty Mutual
- SilverTech
- State of New Hampshire
Once you've completed your bachelor's degree, take your education to the next level by pursuing your Master of Science in Analytics at UNH's campus in Durham. The M.S. in analytics program provides graduates with “the complete package” — developing the technical and professional skills to help businesses use data effectively to produce real-time results. Master’s students will hone their skills through case-studies and real-world challenges, becoming highly skilled at efficiently deriving actionable information from data.
In partnership with the New Hampshire community colleges below, we've developed curriculum guides to show you which courses at your community college will transfer into UNH Manchester's analytics and data science program.
See the transferable analytics and data science requirements for these community colleges:
Questions? Contact an admission counselor for help.
- Tariq Abu-Jaber, Burgess Group
- Chuck Bransih, IDEXX
- Tim Chadwick, Dyn
- Jeff Dixon, IDEXX
- John Fitzsimmons, Fidelity
- Mike Fredrickson, EMC
- Ray Hunnicutt, Charter Communications
- Thomas Lambert, State of N.H. - Department of Health and Human Services
- Michael Laracy, Rapid Insights
- Angie McAllister, Pearson
- Enzo Micali, TJX Companies
- Eric Place, Martins Point Health Care
- Eric Poirier, UNUM
- Kevin Powers, EMC
- Jim Przybylowicz, IDEXX
- Christopher Synder, EMC
- Dinsesh Thakur, President/CEO
- William Vorias, Loyalty Builders
What is the difference between analytics and data science on the Durham campus versus the Manchester campus?
The program is jointly administered across both campuses and the degree requirements are identical. The Durham campus is primarily for residential full-time students who can commit to classes throughout the day and week. The Manchester programs are more convenient for students who prefer classes in the evenings or in non-traditional formats. The classes for the analytics option are available on both campuses, while some classes for the data science option are currently available only in Durham.
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