Shaping the next generation of data revolutionaries
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 is 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 analytics and data science?
Analytics and data science are part of nearly all aspects of the economy, society and daily life. Analytics uses multidisciplinary and interdisciplinary approaches to extract knowledge and insights from large quantities of complex data for practical use in varied domains. Organizations today are increasingly reliant on analytics to make business decisions, which is reflected by the intense job demand for analytics-minded professionals and correspondingly high salaries. The analytics option at ӣ emphasizes a broad range of data science applications, preparing students to meet the workforce demand in industry, academia and government.
Why study analytics and data science at ӣ Manchester?
The analytics and data science program at ӣ 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 will prepare you for a wide array of careers or professionally oriented graduate programs. In a survey of recent ӣ Manchester graduates, 100% of analytics and data science grads reported that they were employed or in further education within six months of graduation.
Potential careers
- Actuary
- Business analyst
- Data engineer
- Data scientist
- Machine learning engineer
- Management analyst
- Market research analyst
- Operations research analyst
- Statistician
- Quantitative analyst
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 ӣ's program at a reduced tuition rate.
PROGRAM LOCATIONS
Analytics and data science is offered at both the Manchester and Durham campuses.
Curriculum & Requirements
The option in Analytics is intended for students interested in either heading into industry immediately upon graduation, or pursuing graduate work in a professionally oriented program at ӣ. The option in Analytics places its emphasis on applications of data science in industry.
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. 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.
For additional information, contact the ӣ Manchester Office of Admissions, (603) 641-4150.
Sample Course Sequence
| First Year | ||
|---|---|---|
| Fall | Credits | |
| 䰿ѱ424 or 䳧415 | Applied Computing 1: Foundations of Programming or Introduction to Computer Science I | 4 |
| ҳ401 | First-Year Writing | 4 |
| Ѵձ425 | Calculus I | 4 |
| Discovery Course | 4 | |
| Credits | 16 | |
| Spring | ||
| BUS A 1 | 4 | |
| COMP525 or CS416 | Data Structures Fundamentals or Introduction to Computer Science II | 4 |
| DATA557 or CS457 | Introduction to Data Science and Analytics or Introduction to Data Science and Analytics | 4 |
| MATH426 | Calculus II | 4 |
| Credits | 16 | |
| Second Year | ||
| Fall | ||
| COMP625 or CS515 | Data Structures and Algorithms or Data Structures and Introduction to Algorithms | 4 |
| MATH645 | Linear Algebra for Applications | 4 |
| Discovery Course | 4 | |
| Elective 2 | 4 | |
| Credits | 16 | |
| Spring | ||
| COMP430 | Systems Fundamentals | 4 |
| COMP520 or IT505 | Database Design and Development or Integrative Programming | 4 |
| COMP570 or MATH539 or MATH644 | Statistics in Computing and Engineering or Introduction to Statistical Analysis or Statistics for Engineers and Scientists | 4 |
| Discovery Course | 4 | |
| Credits | 16 | |
| Third Year | ||
| Fall | ||
| BUS B 1 | 4 | |
| DATA674 | Predictive and Prescriptive Analytics I | 4 |
| MATH739 | Applied Regression Analysis | 4 |
| Discovery Course | 4 | |
| Credits | 16 | |
| Spring | ||
| DATA675 or COMP721 | Predictive and Prescriptive Analytics II or Big Data for Data Engineers | 4 |
| ENGL502 | Professional and Technical Writing | 4 |
| UMST582 | Internship and Career Planning Seminar | 1 |
| Discovery Course | 4 | |
| Discovery Course | 4 | |
| Credits | 17 | |
| Fourth Year | ||
| Fall | ||
| BUS C 1 | 4 | |
| DATA757 | Mining Massive Datasets | 4 |
| Discovery Course | 4 | |
| Elective | 4 | |
| Credits | 16 | |
| Spring | ||
| DATA790 or CS791 or CS792 | Capstone Project or Senior Project I or Senior Project II | 4 |
| Discovery Course | 4 | |
| Elective | 4 | |
| Elective | 4 | |
| Credits | 16 | |
| Total Credits | 129 | |
- 1
In consultation with your advisor, select: Introduction to Business, Organizational Behavior, or Organizational Leadership.
- 2
MATH531 Mathematical Proof strongly encouraged
Degree Requirements
All Major, Option and Elective Requirements as indicated.
*Major GPA requirements as indicated.
Major Requirements
Successful completion of the program entails earning at least 128 credits, meeting the requirements of the University's Discovery program, completing all of the 21 required courses in the major as listed below, including the capstone course, the internship preparedness course, and an internship. 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).
| Code | Title | Credits |
|---|---|---|
| Mathematics | ||
| Ѵձ425 | Calculus I | 4 |
| MATH426 | Calculus II | 4 |
| MATH645 | Linear Algebra for Applications | 4 |
| MATH739 | Applied Regression Analysis | 4 |
| Computing | ||
| 䰿ѱ424 | Applied Computing 1: Foundations of Programming | 4 |
| COMP430 | Systems Fundamentals | 4 |
| COMP520 | Database Design and Development | 4 |
| COMP525 | Data Structures Fundamentals | 4 |
| COMP570 | Statistics in Computing and Engineering | 4 |
| COMP625 | Data Structures and Algorithms | 4 |
| Business | ||
| BUS400 | Introduction to Business | 4 |
| BUS453 | Leadership for Managers | 4 |
| BUS620 | Organizational Behavior | 4 |
| Analytics & DATA Courses | ||
| DATA557 | Introduction to Data Science and Analytics | 4 |
| orCS457 | Introduction to Data Science and Analytics | |
| DATA674 | Predictive and Prescriptive Analytics I | 4 |
| DATA675 | Predictive and Prescriptive Analytics II | 4 |
| DATA757 | Mining Massive Datasets | 4 |
| orCOMP721 | Big Data for Data Engineers | |
| Project and Professional Practice | ||
| DATA690 | Internship Experience | 1-4 |
| DATA790 | Capstone Project | 4 |
| orCS791 | Senior Project I | |
| orCS792 | Senior Project II | |
| Other | ||
| ENGL502 | Professional and Technical Writing | 4 |
| UMST582 | Internship and Career Planning Seminar | 1 |
| Total Credits | 78-81 | |
Analytics and Data Science focuses on the extraction of meaning from data through the application of computer science, mathematics and business domain knowledge. Within a few years of obtaining a bachelor's degree in Analytics and Data Science, our alumni will have:
Program Learning Outcomes
- Engaged in successful career areas of analytics and data science and will already have, or be pursuing, advanced degrees in Analytics, Data Science, Computer Science, Mathematics or related fields.
- Applied the full range of core Data Science concepts and techniques to fill the analytics needs of an organization.
- Communicated effectively with diverse stakeholders as well as functioned appropriately in a team environment.
- Navigated the complex interconnections between data, computing technology, and the goals and constraints of the organization served.
- Understood the pervasive and changing role of data in global society, and participated responsibly as both an Analytics and Data Science professional and citizen.
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 ӣ Manchester will put you at the forefront of one of the fastest growing fields in the country.
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 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
Put the power of data programming, statistics and predictive modeling to work for you with our . Designed for busy professionals, our program offers the flexibility you need to continue working while you learn new skills. We teach cutting-edge algorithms, coding languages, statistical modeling and visualization tools through guided, online instruction and applied case studies. Increase your earning potential, advance your career, and make a greater impact within your business or organization with advanced, applicable data analytics and coding.
In partnership with the New Hampshire community colleges below, we've developed a pathway to show you which courses at your community college will transfer into ӣ Manchester's analytics and data science program.
- , Burgess Group
- Chuck Bransih, IDEXX
- , Dyn
- , IDEXX
- John Fitzsimmons, Fidelity
- , EMC
- , Charter Communications
- , State of N.H. - Department of Health and Human Services
- , Rapid Insights
- , Pearson
- , TJX Companies
- , Martins Point Health Care
- Eric Poirier, UNUM
- , EMC
- , IDEXX
- , EMC
- Dinsesh Thakur, President/CEO
- , Loyalty Builders
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.
Program & Campus News
