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

Major in Analytics and Data Science Analytics Option
Analytics and Data Science Major: Analytics Option B.S.

Program Overview

What is the analytics option in analytics and data science?

This option in the analytics and data science degree program 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
Department of Computer Science
Kingsbury Hall N229, 33 Academic Way
Durham, NH 03824

Phone: (603) 862.3778
E: office@cs.unh.edu

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.

Program Objectives

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. Graduates of the bachelor of science in analytics and data science program are expected to have:

  • An understanding of the role of data in guiding decision-making in industry
  • An understanding of how data is generated, stored, and accessed
  • An understanding of data security
  • An understanding of the ethical use of data
  • An understanding of structured vs. unstructured data
  • An understanding of the methods, statistical and other, used to derive actionable information from data
  • Experience with multiple programming languages
  • Experience with multiple statistical and data analysis software programs
  • The ability to communicate detailed, technical information to a variety of audiences clearly and concisely, without the use of jargon
  • The ability to work effectively, both as an individual or as a member of a team
  • The ability to successfully lead a team
  • The ability to adapt to a dynamic, rapidly changing work environment
  • Completed projects and other work experiences on a larger scale than is typical in a bachelor's degree program.

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.

Successful completion of the program entails earning at least 128 credits, meeting the requirements of the University's Discovery program, completing all of the 18 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, 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
Computer Science
CS 415Introduction to Computer Science I4
or CS 416 Introduction to Computer Science II
ECE 401Perspectives in Electrical and Computer Engineering4
MATH 539Introduction to Statistical Analysis4
or MATH 644 Statistics for Engineers and Scientists
IT 505Database Programming4
Business
ADMN 400Introduction to Business4
MGT 580Introduction to Organizational Behavior4
English
ENGL 502Professional and Technical Writing4
Analytics Courses
DATA 557Introduction to Data Science and Analytics4
DATA 674Predictive and Prescriptive Analytics I4
DATA 675Predictive and Prescriptive Analytics II4
DATA 690Internship Experience3
DATA 757Big Data4
DATA 790Capstone Project4
Total Credits67

For additional information about the Analytics and Data Science: Analytics Option, contact Jeremiah Johnson, program coordinator, at (603) 641-4127 or jeremiah.johnson@unh.edu.

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