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

Analytics and Data Science: Analytics Option (B.S.)
Analytics and Data Science major student analyzing data on a computer

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.

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. You’ll master programming languages like Python and R so you can derive actionable information from data. Plus, you’ll become fluent in big-data frameworks like Hadoop and MapReduce – valuable skills to any employer. With an emphasis on extracting meaning from data, this program is designed to prepare students for careers in a wide array of industries or for professionally-oriented graduate programs, like UNH's Master of Science in Analytics.

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 campus and the Durham campus.
  • 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.

This vital field impacts nearly all aspects of the economy, society and daily life. Emerging out of several established fields, including information technology, computer science, statistics, mathematics and business analytics, analytics and data science involves multidisciplinary and interdisciplinary approaches to extract knowledge and insights from large quantities of complex data for use in a broad range of applications.

Analytics and data science is being applied in many organizations within industry, academy and government, and the job demand reflects this growth. 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 analytics option in analytics and data science?

This option in the analytics and data science degree program gives you a solid foundation in the tools you’ll need for careers in the data science 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 and data science 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. The analytics option is available through both the Durham and Manchester campuses.

Potential careers

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

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 business and industry.

Program Objectives

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:

  1. 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
  2. Applied the full range of core Data Science concepts and techniques to fill the analytics needs of an organization
  3. Communicated effectively with diverse stakeholders as well as functioned appropriately in a team environment
  4. Navigated the complex interconnections between data, computing technology, and the goals and constraints of the organization served
  5. Understood the pervasive and changing role of data in global society, and participated responsibly as both an Analytics and Data Science professional and citizen

For additional information about the Analytics and Data Science: Analytics Option, contact Matt Magnusson, program co-director (Durham campus), or Jeremiah Johnson, program co-director (Manchester campus), at (603) 641-4127. 

Sample Degree Plan

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
MGT 535 Organizational Behavior 4
Discovery Lab 4
 Credits16
Third Year
Fall
DATA 674 Predictive and Prescriptive Analytics I 4
IT 505 Integrative Programming 4
MGT 540 Leading with Impact: Strategies for Modern Leadership 4
Discovery Course 4
 Credits16
Spring
DATA 690 Internship Experience 1-4
Analytics Course II 4
600- or 700-level Elective I 4
Discovery Course 4
 Credits13-16
Fourth Year
Fall
CS 791 Senior Project I 2
MATH 739 Applied Regression Analysis 4
CS 750 Machine Learning 4
600- or 700-level Elective II 4
Discovery Course 4
 Credits18
Spring
CS 792 Senior Project II 2
CS 775 Database Systems 4
600- or 700-level Elective III 4
Discovery Course 4
 Credits14
 Total Credits127-130

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 course, the internship preparedness course, and a three-credit internship.

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 644Statistics for Engineers and Scientists4
or COMP 570 Statistics in Computing and Engineering
or MATH 539 Introduction to Statistical Analysis
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
or COMP 424 Applied Computing 1: Foundations of Programming
CS 416Introduction to Computer Science II4
or COMP 525 Data Structures Fundamentals
CS 457Introduction to Data Science and Analytics4
or DATA 557 Introduction to Data Science and Analytics
CS 515Data Structures and Introduction to Algorithms4
or COMP 625 Data Structures and Algorithms
IT 505Integrative Programming4
or COMP 520 Database Design and Development
IT 520Foundations of Information Technology4
or CS 520 Computer Organization and System-Level Programming
or COMP 430 Systems Fundamentals
Business
Selected in consultation with advisor:12
One (1) course in Introduction to Business
One (1) course in Organizational Behavior
One (1) course in Organizational Leadership
English
ENGL 502Professional and Technical Writing4
Analytics
DATA 674
DATA #675
Predictive and Prescriptive Analytics I
and Predictive and Prescriptive Analytics II
8
or DATA 674
CS 750
Predictive and Prescriptive Analytics I
and Machine Learning
or MATH 738
CS 750
Data Mining and Predictive Analytics
and Machine Learning
DATA 690Internship Experience1-4
COMP 721Big Data for Data Engineers 14
Capstone
CS 791
CS 792
Senior Project I
and Senior Project II
4
or CS 799 Thesis
Electives
Select three (3) 600 or 700-level elective courses approved by advisor.12
Total Credits91-94
1

Or another suitable 700-level data science or data engineering course chosen in consultation with the program coordinator.

  • 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

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.

Those interested in the Analytics & Data Science: Analytics Option 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.

Take the Next Step

undergraduate student in front of campus building
LEARN HOW TO APPLY
Students on the lawn at Thompson Hall
SCHEDULE A VISIT
student at career event
REQUEST INFORMATION