Analytics, B.S. - CEPS, UNH

Undergraduate

Analytics

Master industry-standard tools and big data frameworks while learning to transform complex data into actionable business insights.
2026
Degree
Bachelor of Science
Location
Durham, NH
Courses
24*
Credit
128 hrs.*
Full-time
4 yrs.
Part-time
Varies
View course catalog
student presenting

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

Key Links

Tuition Costs

Contact Cards

Matthew Magnusson
Senior Lecturer
Matthew.Magnusson@unh.edu
Kingsbury Hall, Room W243, Durham, NH 03824
(603) 862-3778

What is the analytics major?

This degree program gives you a solid foundation in the tools you’ll need for careers in the analytics industry. In addition to courses in mathematics, computer science and analytics, you’ll study business organizations and behavior, and professional technical writing. Our graduates have the skills to start careers immediately after completing their degree, or to pursue further study in a professionally oriented program such as the Master of Science in Analytics at UNH.

Why study analytics at UNH?

UNH was one of the first universities in the country to offer an undergraduate-level degree in analytics and data science. Our programs take a multidisciplinary approach that incorporates experiential education, professional development, projects and work experience. We partner with local businesses to give you the real-world experience that sets you apart, and our analytics majors have access to internships at many high-profile organizations. You’ll learn the cutting-edge technical skills you need to manage, distill, and interpret data for industries from finance to healthcare to marketing and advertising.

Potential careers

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

Curriculum & Requirements

01
Program Description
Open icon icon to open the summary

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 such as the Master of Science in Analytics at UNH. The program places its emphasis on applications of data science in business and industry.

02
Degree Plan
Open icon icon to open the summary

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
FallCredits
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
 Credits18
Spring
CS 416 Introduction to Computer Science II 4
MATH 426 Calculus II 4
ADMN 400 Introduction to Business 4
Discovery Course 4
 Credits16
Second Year
Fall
CS 515 Data Structures and Introduction to Algorithms 4
IT 520
or CS 520
 Foundations of Information Technology
or Computer Organization and System-Level Programming
 4
MATH 645
or MATH 545
 Linear Algebra for Applications
or Introduction to Linear Algebra
 4
Discovery Lab 4
 Credits16
Spring
MATH 539
or MATH 644
 Introduction to Statistical Analysis
or Statistics for Engineers and Scientists
 4
ENGL 502 Professional and Technical Writing 4
ECON 402 Principles of Economics (Micro) 4
Discovery Course 4
 Credits16
Third Year
Fall
CS 674 Fundamentals of Statistical Learning I 4
IT 505 Integrative Programming 4
MGT 535 Organizational Behavior 4
Discovery Course 4
 Credits16
Spring
CS 675 Fundamentals of Statistical Learning II 4
600- or 700-level Elective I 4
600- or 700-level Elective II 4
Discovery Course 4
 Credits16
Fourth Year
Fall
CS 791 Senior Project I 2
MATH 739 Applied Regression Analysis 4
IT 630 Data Science and Big Data Analytics 4
Discovery Course 4
General Elective 4
 Credits18
Spring
CS 792 Senior Project II 2
600- or 700-level Elective III 4
General Elective 4
Discovery Course 4
 Credits14
 Total Credits130
03
Requirements for the Program
Open icon icon to open the summary

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 24 required courses in the major as listed below, including the capstone courses.

In all major courses, a minimum grade of C- must be earned. 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 Program requirements).

Required Courses
Mathematics
MATH 425Calculus I4
MATH 426Calculus II4
MATH 539Introduction to Statistical Analysis4
or MATH 644 Statistics for Engineers and Scientists
MATH 645Linear Algebra for Applications4
or MATH 545 Introduction to Linear Algebra
MATH 739Applied Regression Analysis4
Computer Science
CS 400Introduction to Computing2
CS 415Introduction to Computer Science I4
or CS 410P Introduction to Scientific Programming/Python
CS 416Introduction to Computer Science II4
CS 457Introduction to Data Science and Analytics4
CS 515Data Structures and Introduction to Algorithms4
IT 505Integrative Programming4
IT 520Foundations of Information Technology4
or CS 520 Computer Organization and System-Level Programming
Business
ADMN 400Introduction to Business4
MGT 535Organizational Behavior4
ECON 402Principles of Economics (Micro)4
English
ENGL 502Professional and Technical Writing4
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 630Data Science and Big Data Analytics4
or CS 775 Database Systems
Capstone
CS 791
& CS 792		Senior Project I
and Senior Project II		4
or CS 799 Thesis
Electives
Select three (3) CS or MATH 600- or 700-level elective courses 112
Total Credits90
1

Students may choose a 600- or 700-level elective in another discipline with approval from advisor.

04
Student Learning Outcomes
Open icon icon to open the summary

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.

More to Explore

Careers
Facilities
Research
Scholarships & Financial Aid
Honors in Major
Study Abroad
Schedule a Tour