Analytics and Data Science Major: Analytics Option (B.S.)

Analytics and Data Science Major: Analytics Option (B.S.)

Analytics students in class

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. While this option is available on both campuses, it 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 analytics and data science?

The analytics and data science field affects nearly all aspects of the economy, society and daily life. The analytics focus of the field benefits from 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 job demand for analytics-minded professionals. The analytics option at UNH 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 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 will prepare you 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

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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

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 such as the Master of Science in Analytics at UNH. 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.

Sample Course Sequence

Plan of Study Grid
First Year
FallCredits
COMP 424
or CS 414
or CS 415
Applied Computing 1: Foundations of Programming
or From Problems to Algorithms to Programs
or Introduction to Computer Science I
4
ENGL 401 First-Year Writing 4
MATH 425 Calculus I 4
Discovery Course 4
 Credits16
Spring
BUS A 1 4
COMP 525
or CS 416
or CS 417
Data Structures Fundamentals
or Introduction to Computer Science II
or From Programs to Computer Science
4
DATA 557
or CS 457
Introduction to Data Science and Analytics
or Introduction to Data Science and Analytics
4
MATH 426 Calculus II 4
 Credits16
Second Year
Fall
COMP 625
or CS 515
Data Structures and Algorithms
or Data Structures and Introduction to Algorithms
4
MATH 645 Linear Algebra for Applications 4
Discovery Course 4
Elective 2 4
 Credits16
Spring
COMP 430 Systems Fundamentals 4
COMP 520
or IT 505
Database Design and Development
or Integrative Programming
4
COMP 570
or MATH 539
or MATH 644
Statistics in Computing and Engineering
or Introduction to Statistical Analysis
or Statistics for Engineers and Scientists
4
Discovery Course 4
 Credits16
Third Year
Fall
BUS B 1 4
DATA 674 Predictive and Prescriptive Analytics I 4
MATH 739 Applied Regression Analysis 4
Discovery Course 4
 Credits16
Spring
DATA 675
or COMP 721
Predictive and Prescriptive Analytics II
or Big Data for Data Engineers
4
ENGL 502 Professional and Technical Writing 4
UMST 582 Internship and Career Planning Seminar 1
Discovery Course 4
Discovery Course 4
 Credits17
Fourth Year
Fall
BUS C 1 4
DATA 757 Mining Massive Datasets 4
Discovery Course 4
Elective 4
 Credits16
Spring
DATA 790
or CS 791
or CS 792
Capstone Project
or Senior Project I
or Senior Project II
4
Discovery Course 4
Elective 4
Elective 4
 Credits16
 Total Credits129

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).

Program Requirements

Mathematics
MATH 425Calculus I4
MATH 426Calculus II4
MATH 545Introduction to Linear Algebra4
or MATH 645 Linear Algebra for Applications
MATH 739Applied Regression Analysis4
Computing
COMP 424Applied Computing 1: Foundations of Programming4
or CS 414 From Problems to Algorithms to Programs
or CS 415 Introduction to Computer Science I
COMP 430Systems Fundamentals4
COMP 520Database Design and Development4
or IT 505 Integrative Programming
COMP 525Data Structures Fundamentals4
or CS 416 Introduction to Computer Science II
or CS 417 From Programs to Computer Science
COMP 570Statistics in Computing and Engineering4
or MATH 539 Introduction to Statistical Analysis
or MATH 644 Statistics for Engineers and Scientists
COMP 625Data Structures and Algorithms4
or CS 515 Data Structures and Introduction to Algorithms
Business 112
Analytics & DATA Courses
DATA 557Introduction to Data Science and Analytics4
or CS 457 Introduction to Data Science and Analytics
DATA 674Predictive and Prescriptive Analytics I4
DATA 675Predictive and Prescriptive Analytics II4
DATA 757Mining Massive Datasets4
or COMP 721 Big Data for Data Engineers
Project and Professional Practice
DATA 690Internship Experience4
DATA 790Capstone Project4
or CS 791 Senior Project I
or CS 792 Senior Project II
Other
ENGL 502Professional and Technical Writing4
UMST 582Internship and Career Planning Seminar1
Total Credits81

For additional information about the Analytics and Data Science: Analytics Option, contact Mihaela Sabin, program coordinator, at Mihaela.Sabin@unh.edu, Jeremiah Johnson, Assistant Professor at Jeremiah.Johnson@unh.edu, or the UNH Manchester Office of Admissions, (603) 641-4150, unhm.admissions@unh.edu.

  • Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
  • Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
  • Communicate effectively in a variety of professional contexts.
  • Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
  • Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
  • Apply theory, techniques, and tools throughout the data analysis lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.

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.

Learn more about research at UNH manchester

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

Learn more about career planning

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

Learn more about internships

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.

See the complete list of Pathways

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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