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

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

Major in Analytics and Data Science Data Science Option

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 data science option in analytics and data science?

This option in the analytics and data science degree program will give you the skills to pursue original research or an advanced degree in data science. You’ll gain a deep understanding of concepts from mathematics and computer science such as probability theory, statistical analysis, predictive modeling, algorithms, machine learning, and data science.

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 data science option is available only through the Durham campus.

Potential careers

  • Actuary
  • Business analyst
  • Consultant
  • Data engineer
  • Data scientist
  • Management analyst
  • Market research analyst
  • Statistician
  • 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 Data Science is intended for students interested in pursuing advanced degrees and conducting original research in data science. The option in data science places its emphasis on a rigorous introduction to the theoretical mathematical and computational underpinnings of modern data science.

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 20 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 528Multidimensional Calculus4
MATH 531Mathematical Proof4
MATH 539Introduction to Statistical Analysis4
or MATH 644 Statistics for Engineers and Scientists
MATH 645Linear Algebra for Applications4
MATH 738Data Mining and Predictive Analytics4
MATH 755Probability with Applications4
MATH 756Principles of Statistical Inference4
MATH 797Senior Seminar 14
or MATH 798 Senior Project
Computer Science
CS 414
CS 417
From Problems to Algorithms to Programs
and From Programs to Computer Science
8
or CS 415
CS 416
Introduction to Computer Science I
and Introduction to Computer Science II
CS 515Data Structures and Introduction to Algorithms4
CS 659Introduction to the Theory of Computation4
CS 750Machine Learning4
CS 758Algorithms4
CS 775Database Systems4
English
ENGL 502Professional and Technical Writing4
Analytics Course
DATA 557Introduction to Data Science and Analytics4
Select three electives 212
Total Credits88

For additional information about the Analytics and Data Science: Analytics Option, contact Wheeler Ruml, program co-director (Durham campus), at wheeler.ruml@unh.edu or Jeremiah Johnson, program co-director (Manchester campus), at (603) 641-4127 or jeremiah.johnson@unh.edu.

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.

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