Undergraduate

Analytics

Master industry-standard tools and big data frameworks while learning to transform complex data into actionable business insights.

Degree

Bachelor of Science

Location

Durham, NH

Courses

24*

Credit

128 hrs.*

Full-time

4 yrs.

Part-time

Varies

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COmputer Science

The Analytics degree at UNH offers an innovative curriculum that combines advanced technical training with real-world applications in data analysis. Here you'll be able to master industry-standard tools and big data frameworks while learning to transform complex data into actionable business insights.

Students will gain hands-on experience analyzing data across diverse sectors like finance, healthcare, and marketing. Through comprehensive coursework in statistical analysis, machine learning, and data visualization, this program prepares students for high-demand careers in data analytics or advanced graduate studies.

*Number of courses and course credit hours may vary, please reach out to your academic advisor for exact requirements

Computer Science Department

UNH student looking at a computer screen

Innovation Scholars

The only first-year research and innovation program of its type in the region!

The Innovation Scholars program, open to all CEPS majors, offers students an exceptional launch to their college experience. Through multiple interdisciplinary cohorts and hands-on research in world-class facilities, students build confidence, gain real experience, and open doors to paid research, internships, and future graduate study. It’s a proven program that helps students shape their future from day one.

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Contact Cards

Matthew Magnusson

Senior Lecturer

Matthew.Magnusson@unh.edu

Kingsbury Hall, Room W243, Durham, NH 03824

(603) 862-3778

What is a bachelor of science in Analytics?

The Analytics Degree at UNH offers an innovative curriculum that combines advanced technical training with real-world applications in data analysis. Here you'll be able to master industry-standard tools and big data frameworks while learning to transform complex data into actionable business insights. Students will gain hands-on experience analyzing data across diverse sectors like finance, healthcare, and marketing. Through comprehensive coursework in statistical analysis, machine learning, and data visualization, this program prepares students for high-demand careers in data analytics or advanced graduate studies.

Why study Analytics at UNH?

Our fundamentals-based programs equip students with the knowledge and skills needed for today’s rapidly evolving careers. Our graduates have achieved remarkable success as entrepreneurs, key contributors in startups, and corporate leaders. Our alumni can be found in virtually every major tech company and throughout fields as diverse as finance, insurance, and defense. Student learning is supported through the Programming Assistance Center for introductory classes and through peer support for advanced courses. The department provides opportunities for students to augment their studies by engaging in research through projects and independent studies. Students have access to the UNH Interoperability Lab, where they have opportunities to work alongside top tech companies, and the UNH ECenter, where they can receive assistance with entrepreneurial ventures. Many of UNH’s student organizations, such as the Cybersecurity Club, are a natural fit for our students.

Potential Careers

Actuary
Business analyst
Consultant
Data engineer
Data scientist
Management analyst
Market research analyst
Quantitative analyst

Curriculum & Requirements

Program Description

The BS in Analytics is intended for students interested in either heading into industry immediately upon graduation, or pursuing graduate work in a professionally oriented program. The program places its emphasis on applications of data science in business and industry.

Degree Plan

Sample Degree Plan

This sample degree plan serves as a general guide; students collaborate with their academic advisor to develop a personalized degree plan to meet their academic goals and program requirements.

Plan of Study Grid
First Year
Fall		Credits
CS 400	Introduction to Computing	2
CS 415	Introduction to Computer Science I	4
CS 457	Introduction to Data Science and Analytics	4
MATH 425	Calculus I	4
ENGL 401	First-Year Writing	4
	Credits	18
Spring
CS 416	Introduction to Computer Science II	4
MATH 426	Calculus II	4
MATH 539 or MATH 644	Introduction to Statistical Analysis or Statistics for Engineers and Scientists	4
ADMN 401W	Introduction to Responsible Business Management	4
	Credits	16
Second Year
Fall
IT 520 or CS 420	Foundations of Information Technology or Foundations of Programming for Digital Systems	4
CS 674	Fundamentals of Statistical Learning I	4
Minor Elective I		4
Discovery Lab		4
	Credits	16
Spring
IT 505	Integrative Programming	4
MATH 645 or MATH 545	Linear Algebra for Applications or Introduction to Linear Algebra	4
ENGL 502	Professional and Technical Writing	4
ECON 401 or ECON 402	Principles of Economics (Macro) or Principles of Economics (Micro)	4
	Credits	16
Third Year
Fall
MGT 535	Organizational Behavior	4
IT 630	Data Science and Scalable Data Systems	4
MATH 739	Applied Regression Analysis	4
Minor Elective II		4
	Credits	16
Spring
CS 675	Fundamentals of Statistical Learning II	4
Minor Elective III		4
Discovery Course		4
Discovery Course		4
	Credits	16
Fourth Year
Fall
CS 791	Senior Project I	2
Minor Elective IV		4
General Elective		4
Discovery Course		4
Discovery Course		4
	Credits	18
Spring
CS 792	Senior Project II	2
Minor Elective V		4
Discovery Course		4
Discovery Course		4
	Credits	14
	Total Credits	130

Requirements for the Program

Degree Requirements

Minimum Credit Requirement: 128 credits

Minimum Residency Requirement: 32 credits must be taken at UNH

Minimum GPA: 2.0 required for conferral*

Core Curriculum Required: Discovery & Writing Program Requirements

Foreign Language Requirement: No

All Major, Option and Elective Requirements as indicated.
*Major GPA requirements as indicated.

Major Requirements

Successful completion of the degree program includes earning a minimum of 128 credits, meeting the requirements of the University's Discovery Program, completing 25 required courses in the major as listed below, including the capstone courses.

The following courses or their equivalents must be passed with a grade of C- or better in order to meet the Analytics major requirements: CS 415, CS 416 (or CS 417), CS 457, IT 505 (or CS 515), and IT 520 (or CS 420).

Students are expected to demonstrate consistent progress towards the satisfaction of the core degree requirements and are allowed two repeats of the aforementioned courses before being removed from the program. This can be a single class repeated twice or two classes repeated once. Students may petition to be reinstated after one year out of the program.

Transfer students may transfer up to a maximum of 32 credits to satisfy major requirements (not counting those courses used to satisfy Discovery Program requirements).

Course List
Code	Title	Credits
Required Courses
Mathematics
MATH 425	Calculus I	4
MATH 426	Calculus II	4
MATH 539	Introduction to Statistical Analysis	4
or MATH 540	Probability & Statistics
or MATH 644	Statistics for Engineers and Scientists
MATH 645	Linear Algebra for Applications	4
or MATH 545	Introduction to Linear Algebra
MATH 739	Applied Regression Analysis	4
Computer Science
CS 400	Introduction to Computing	2
CS 415	Introduction to Computer Science I	4
or CS 410P	Introduction to Scientific Programming/Python
CS 416	Introduction to Computer Science II	4
or CS 417	From Programs to Computer Science
CS 457	Introduction to Data Science and Analytics	4
IT 505	Integrative Programming	4
or CS 515	Data Structures and Introduction to Algorithms
IT 520	Foundations of Information Technology	4
or CS 420	Foundations of Programming for Digital Systems
Business
ADMN 401W	Introduction to Responsible Business Management	4
ECON 401	Principles of Economics (Macro)	4
or ECON 402	Principles of Economics (Micro)
MGT 535	Organizational Behavior	4
English
ENGL 502	Professional and Technical Writing	4
Analytics
CS 674 & CS 675	Fundamentals of Statistical Learning I and Fundamentals of Statistical Learning II	8
or CS 674 & CS 750	Fundamentals of Statistical Learning I and Machine Learning
or MATH 738 & CS 750	Data Mining and Predictive Analytics and Machine Learning
IT 630	Data Science and Scalable Data Systems	4
or CS 775	Database Systems
Capstone
CS 791 & CS 792	Senior Project I and Senior Project II	4
or CS 799	Thesis
Minor
Select and complete one of the following approved Minors:		20
Artificial Intelligence Minor
Business Administration Minor
Cybersecurity Minor
Economics Minor
Information Technology Minor
Statistics Minor
Total Credits		94

Student Learning Outcomes

Program Learning Outcomes

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

Student Outcomes

Student Outcomes in Analytics and Data Science

Advanced Degrees

Those interested in the Analytics major may also be interested in the following advanced degrees. Students in the program also have the opportunity to participate in the UNH accelerated master’s program.

Computer Science M.S.

Computer Science Ph.D.

Business Analytics M.S.