Completed Application
Official Transcripts
Letter Of Recommendation
Official Sat Or Act Scores (Optional)
Special Program Requirements (For Specific Majors Only)
Advanced Placement And International Baccalaureate Credit
Results of the TOEFL, IELTS, or Duolingo are required if English is not a student's first language. English proficiency waivers are considered on a case-by-case basis. Scores must be sent directly from the testing agency. Minimum TOEFL score is 80 (internet version), 550 (paper version), 213 (computer version); recommended minimum IELTS score is 6.5; recommend Duolingo score is 105 or higher. UNH's CEEB code for the TOEFL is: 3918.
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.
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. 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.
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Program Requirements
Mathematics,
MATH 425, Calculus I, 4
MATH 426, Calculus II, 4
MATH 545, Introduction to Linear Algebra, 4
or MATH 645, Linear Algebra for Applications
MATH 739, Applied Regression Analysis, 4
Computing,
COMP 424, Applied Computing 1: Foundations of Programming, 4
or CS 414, From Problems to Algorithms to Programs
or CS 415, Introduction to Computer Science I
COMP 430, Systems Fundamentals, 4
COMP 520, Database Design and Development, 4
or IT 505, Integrative Programming
COMP 525, Data Structures Fundamentals, 4
or CS 416, Introduction to Computer Science II
or CS 417, From Programs to Computer Science
COMP 570, Statistics in Computing and Engineering, 4
or MATH 539, Introduction to Statistical Analysis
or MATH 644, Statistics for Engineers and Scientists
COMP 625, Data Structures and Algorithms, 4
or CS 515, Data Structures and Introduction to Algorithms
Business 1, 12
Analytics & DATA Courses,
DATA 557, Introduction to Data Science and Analytics, 4
or CS 457, Introduction to Data Science and Analytics
DATA 674, Predictive and Prescriptive Analytics I, 4
DATA 675, Predictive and Prescriptive Analytics II, 4
DATA 757, Mining Massive Datasets, 4
or COMP 721, Big Data for Data Engineers
Project and Professional Practice,
DATA 690, Internship Experience, 4
DATA 790, Capstone Project, 4
or CS 791, Senior Project I
or CS 792, Senior Project II
Other,
ENGL 502, Professional and Technical Writing, 4
UMST 582, Internship and Career Planning Seminar, 1
Total Credits, 81
ActuaryBusiness analyst
Data engineer
Data scientist
Machine learning engineer
Management analyst
Market research analyst
Operations research analyst
Statistician
Quantitative analyst
Medical insurance: 1999USD/year
