Data Science, Minor - CEPS, UNH

Undergraduate

Data Science

Learn essential skills in predictive modeling, data visualization, and pattern recognition.
Degree
Minor
Location
Durham, NH
Courses
5
Credit
20 hrs.
Full-time
- -
Part-time
- -
Male student sitting at computer with three monitors

COmputer Science

The Data Science minor at UNH offers essential training in data analysis and interpretation techniques. Here you'll be able to explore artificial intelligence, neural networks, and big data applications while gaining hands-on experience with real-world datasets. 

Through specialized coursework in data mining and advanced analytics, you'll develop valuable expertise that enhances career opportunities across industries from healthcare to finance.

Computer Science Department

UNH student looking at a computer screen

Innovation Scholars

The only first-year research and innovation program of its type in the region!

The Innovation Scholars program, open to all CEPS majors, offers students an exceptional launch to their college experience. Through multiple interdisciplinary cohorts and hands-on research in world-class facilities, students build confidence, gain real experience, and open doors to paid research, internships, and future graduate study. It’s a proven program that helps students shape their future from day one.

Contact Cards

Senior Lecturer
Kingsbury Hall, Room W243, Durham, NH 03824
(603) 862-3778

What is data science?

With an explosion of big data initiatives in organizations worldwide, the demand for data-savvy individuals has never been higher. This program is designed to provide a basic foundation for students interested in the theoretical underpinnings of analytics and data science. Choose from courses in artificial intelligence, neural networks, data mining and big data. Data science is being applied in many organizations within industry, academy and government, and the job demand reflects this growth. With the experience provided by this minor, you’ll gain a competitive advantage in this rapidly growing field.

Why study 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 and projects. You’ll learn to manage, distill and interpret data for industries from finance to healthcare to marketing and advertising. The data science minor is available on both the Durham and Manchester campuses.

Potential Careers

  • Actuary
  • Business analyst
  • Consultant
  • Data engineer
  • Data scientist
  • Management analyst
  • Market research analyst
  • Statistician
  • Quantitative analyst

Curriculum & Requirements

01
Program Description
Open icon icon to open the summary

The objective of this minor is to provide a basic background in data science for those who are more interested in the theoretical underpinnings of analytics and data science.

Students interested in the Data Science minor should contact matthew.magnusson@unh.edu for more information.

02
Requirements for the Program
Open icon icon to open the summary

Academic policies related to Minors.

Required Courses
CS 415Introduction to Computer Science I4
or CS 410C Introduction to Scientific Programming/C
or CS 410P Introduction to Scientific Programming/Python
or DS 662 Programming for Business
Select one course from the following:4
CS 674
Fundamentals of Statistical Learning I
CS 750
Machine Learning
MATH 738
Data Mining and Predictive Analytics
Select one course from the following:4
ADMN 510
Business Analytics and Statistics
BIOL 528
Applied Biostatistics I
BUS 430
Introduction to Business Statistics
MATH 439
Statistical Discovery for Everyone
MATH 539
Introduction to Statistical Analysis
MATH 644
Statistics for Engineers and Scientists
PSYC 402
Statistics in Psychology
SOC 402
Statistics
Select two courses from the following:8
CS 674
Fundamentals of Statistical Learning I
CS 675
Fundamentals of Statistical Learning II
CS 730
Introduction to Artificial Intelligence
CS 733
Mobile Robotics
CS 750
Machine Learning
CS 751
Reinforcement Learning
CS 753
Information Retrieval and Generation Systems
CS 757
Mathematical Optimization for Applications
CS 755
Computer Vision
CS 759
Natural Language Processing
CS 775
Database Systems
CS 781
Data Science for Knowledge Graphs and Text
IT 630
Data Science and Scalable Data Systems
MATH 632
Financial Mathematics
MATH 645
Linear Algebra for Applications
MATH 736
Advanced Statistical Modeling
MATH 737
Statistical Methods for Quality Improvement and Design
MATH 740
Design of Experiments I
MATH 741
Survival Analysis
MATH 743
Time Series Analysis
MATH 744
Design of Experiments II
MATH 767
One-Dimensional Real Analysis
MATH 768
Real Analysis II
MATH 770
Foundations of Number Theory
MATH 772
Combinatorics
MATH 784
Topology
MATH 738
Data Mining and Predictive Analytics
MATH 739
Applied Regression Analysis
Total Credits20