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 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.
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Program Requirements
Mathematics
MATH 425, Calculus I
MATH 426, Calculus II
MATH 528, Multidimensional Calculus
MATH 531, Mathematical Proof
COMP 570, Statistics in Computing and Engineering
MATH 645, Linear Algebra for Applications
MATH 755, Probability with Applications
MATH 756, Principles of Statistical Inference
DATA 790, Capstone Project
Computing
COMP 424, Applied Computing 1: Foundations of Programming
COMP 525, Data Structures Fundamentals
COMP 625, Data Structures and Algorithms
CS 659, Introduction to the Theory of Computation
COMP 740 & MATH 738, Machine Learning Applications and Tools and Data Mining and Predictive Analytics
or COMP 740& DATA 674or DATA 674& DATA 675
CS 758, Algorithms
COMP 720, Database Systems and Technologies
Analytics & Data Science
DATA 557, Introduction to Data Science and Analytics
English
ENGL 502, Professional and Technical Writing
Actuary
Business analyst
Data engineer
Data scientist
Machine learning engineer
Management analyst
Market research analyst
Operations research analyst
Statistician
Quantitative analyst
Medical insurance: 1999USD/year
