Momotaz BegumASSISTANT PROFESSOR
Samuel CartonAssistant Professor
Aleksey CharapkoAssistant Professor
Michel CharpentierASSOCIATE PROFESSOR
Laura DietzASSOCIATE PROFESSOR
Mike GildersleevePRINCIPAL LECTURER
Ken GrafInstructorEmail: firstname.lastname@example.org
Alejandro HausnerSENIOR LECTURER
Matthew MagnussonLECTURERAnalytics & Data Science Program Coordinator
Arvind NarayanPRINCIPAL LECTURERCS Undergraduate Program Coordinator
Marek PetrikASSOCIATE PROFESSOR
Matthew PlumleeSENIOR LECTURER
Elizabeth VarkiASSOCIATE PROFESSORGraduate Program Coordinator
Dongpeng XuASSISTANT PROFESSOR
Analytics and Data Science: Analytics Option (B.S.)
Analytics and Data Science: Analytics Option (B.S.)
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.
- Business analyst
- Data engineer
- Data scientist
- Management analyst
- Market research analyst
- Quantitative analyst
Kingsbury Hall N229, 33 Academic Way
Durham, NH 03824
Phone: (603) 862.3778
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.
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 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, 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).
|MATH 425||Calculus I||4|
|MATH 426||Calculus II||4|
|MATH 644||Statistics for Engineers and Scientists||4|
|or COMP 570||Statistics in Computing and Engineering|
|or MATH 539||Introduction to Statistical Analysis|
|MATH 645||Linear Algebra for Applications||4|
|or MATH 545||Introduction to Linear Algebra|
|MATH 739||Applied Regression Analysis||4|
|CS 400||Introduction to Computing||2|
|CS 415||Introduction to Computer Science I||4|
|or CS 410P||Introduction to Scientific Programming/Python|
|or COMP 424||Applied Computing 1: Foundations of Programming|
|CS 416||Introduction to Computer Science II||4|
|or COMP 525||Data Structures Fundamentals|
|CS 457||Introduction to Data Science and Analytics||4|
|or DATA 557||Introduction to Data Science and Analytics|
|CS 515||Data Structures and Introduction to Algorithms||4|
|or COMP 625||Data Structures and Algorithms|
|IT 505||Integrative Programming||4|
|or COMP 520||Database Design and Development|
|IT 520||Computer Architecture||4|
|or CS 520||Computer Organization and System-Level Programming|
|or COMP 430||Systems Fundamentals|
|In Consultation with your advisor select:|
|1 Course in Introduction to Business||4|
|1 Course in Organizational Behavior||4|
|1 Course in Organizational Leadership||4|
|ENGL 502||Professional and Technical Writing||4|
& DATA 675
|Predictive and Prescriptive Analytics I|
and Predictive and Prescriptive Analytics II
|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 690||Internship Experience||4|
|DATA #757||Mining Massive Datasets 1||4|
|or COMP 721||Big Data for Data Engineers|
|DATA #790||Capstone Project||4|
|or CS 791|
& CS 792
| Senior Project I|
and Senior Project II
|or CS 799||Thesis|
|Select three electives 2||12|
Or another suitable 700-level data science or data engineering course chosen in consultation with the program coordinator.
Must be 600 or 700-level and approved by advisor.
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.
- 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.