Computer Science Major (B.S.)

Computer science focuses on problem solving with a particular emphasis on the design of computer-efficient solutions. Within a few years of obtaining a bachelor's degree alumni will have:

  1. Engaged in successful careers in diverse areas of software development and will be pursuing advanced education in computer science or related fields;
  2. Applied the full range of core computer science concepts and techniques to fill software development needs of an organization;
  3. Adapted to changing directions of computing technology and used state-of-the-art techniques to confront new problems effectively;
  4. Navigated the complex interconnections between software and the goals and constraints of the organization served;
  5. Participated responsibly in the pervasive and changing role of computing technology in global society as both software engineers and citizens;
  6. Operated collaboratively in a team environment and assumed leadership roles.

The B.S. in computer science program is accredited by the Computing Accreditation Commission of ABET.

Computer science majors must complete the following coursework in computer science, mathematics, computer engineering, and science. (all courses are 4 credits unless indicated otherwise):

Computer Science Courses
Select one of the following:
CS 400Introduction to Computing2
CS 415Introduction to Computer Science I4
or CS 410C Introduction to Scientific Programming/C
or CS 410P Introduction to Scientific Programming/Python
CS 416Introduction to Computer Science II4
CS 420Foundations of Programming for Digital Systems4
IT 403Introduction to Internet Technologies4
CS 501Professional Ethics and Communication in Technology-related Fields4
CS 515Data Structures and Introduction to Algorithms4
CS 518Introduction to Software Engineering4
CS 520Computer Organization and System-Level Programming4
CS 527Fundamentals of Cybersecurity4
CS 619Introduction to Object-Oriented Design and Development4
CS 620Operating System Fundamentals4
CS 659Introduction to the Theory of Computation4
CS 758Algorithms4
CS 761Programming Language Concepts and Features4
CS 791
CS 792
Senior Project I
and Senior Project II
or CS 799 Thesis
Computer Science Electives:
Select one course from the following implementation electives:4
Compiler Design
Systems Programming
Introduction to Artificial Intelligence
Introduction to Parallel and Distributed Programming
Computer Graphics
Select one course from the following theory electives:4
Performance Evaluation of Computer Systems
Formal Specifications and Verification of Software Systems
Machine Learning
Computer Vision
Mathematical Optimization for Applications
Select two additional CS courses numbered 690-799 as general electives8
Professional Electives 1
Select one course from the following:3-4
CS 700-level course
Intermediate Web Design
Server-side Web Development
Client-side Web Development
Scripting Languages
Data Science and Analytics
Cybersecurity Practices
Project Management for Information Technology
Topics in Information Technology
Linearity I
Linearity II
Differential Equations with Linear Algebra
Multidimensional Calculus
Introduction to Linear Algebra
Linear Algebra for Applications
Complex Analysis for Applications
Advanced Statistical Modeling
Statistical Methods for Quality Improvement and Design
Applied Regression Analysis
Design of Experiments I
Survival Analysis
Time Series Analysis
Design of Experiments II
Foundations of Applied Mathematics I
Foundations of Applied Mathematics II
Introduction to Nonlinear Dynamics and Chaos
Introduction to Numerical Methods I
Probability with Applications
Principles of Statistical Inference
Abstract Algebra
One-Dimensional Real Analysis
Set Theory
Complex Analysis
Computer Organization
Embedded Microcomputer Based Design
ECE 700-level course
Professional and Technical Writing
Principles of Genetics
Genomics and Bioinformatics
Mathematics Courses
MATH 425Calculus I4
MATH 426Calculus II4
MATH 531Mathematical Proof4
MATH 539Introduction to Statistical Analysis4
or MATH 644 Statistics for Engineers and Scientists
Science courses 2
One Discovery Biological Science (BS) with Discovery Lab4
One Discovery Physical Science (PS) with Discovery Lab4
Other Courses
Discovery requirements not already covered by required courses 324
Total Credits129-130
Professional electives must either be chosen from the list of approved courses or another non-introductory CEPS course with significant science and/or engineering focus approved on a per-course basis by the undergraduate studies committee.

Courses must carry the Discovery attributes of Biological Science or Physical Science and include Discovery lab (DLAB).


One of these courses must be writing intensive.

Computer science majors must maintain an overall grade-point average of 2.0 or better in all required computer science, mathematics, and computer engineering courses in order to graduate. If at the end of any semester, including the first, a student's cumulative grade-point average in these courses falls below 2.0, the student may not be allowed to continue as a CS major.

In order to meet the CS major requirements, the following courses must be passed with a grade of C- or better CS 410CCS 410P, CS 415, CS 416CS 420, CS 515, CS 520, IT 403

If a student wishing to transfer into the computer science major has any coursework that is applicable to the major, the grades in those courses must satisfy the minimum grade requirements for the B.S. degree in computer science. The student must have an overall grade-point average of 2.0 or better in all courses taken at the university.

Recommended Plan of Study

Plan of Study Grid
First Year
CS 400 Introduction to Computing 2
CS 415 Introduction to Computer Science I 4
IT 403 Introduction to Internet Technologies 4
MATH 425 Calculus I 4
Discovery I 4
CS 416 Introduction to Computer Science II 4
CS 420 Foundations of Programming for Digital Systems 4
MATH 426 Calculus II 4
ENGL 401 First-Year Writing 4
Second Year
CS 515 Data Structures and Introduction to Algorithms 4
CS 518
Introduction to Software Engineering
or Fundamentals of Cybersecurity
MATH 531
Mathematical Proof
or Introduction to Statistical Analysis
or Statistics for Engineers and Scientists
CS 501 Professional Ethics and Communication in Technology-related Fields (Or Discovery II) 4
CS 520 Computer Organization and System-Level Programming 4
MATH 539
Introduction to Statistical Analysis
or Statistics for Engineers and Scientists
or Mathematical Proof
CS 527
Fundamentals of Cybersecurity
or Introduction to Software Engineering
Discovery II (or CS 501) 4
Third Year
CS 619 Introduction to Object-Oriented Design and Development 4
CS 620 Operating System Fundamentals 4
CS 659 Introduction to the Theory of Computation (Or Professional Elective) 4
CS 761 Programming Language Concepts and Features (or Discovery III) 4
Professional Elective (or CS 659) 4
Discovery III (or CS 761) 4
Discovery IV 4
CS 758 Algorithms (Or CS 700-level General Elective or Discovery V) 4
Fourth Year
CS 791 Senior Project I 2
CS 700-level Implementation or Theory Elective 4
CS 700-level General Elective (or Discovery V) 4
Discovery V (or CS 758) 4
Discovery VI 4
CS 792 Senior Project II 2
CS 700-level Implementation or Theory Elective 4
CS 700-level General Elective (or CS 758) 4
Discovery VII 4
 Total Credits130

Discovery (7): Historical Perspectives, Humanities, Fine and Performing Arts, Social Science, World Cultures, Physical Science Discovery Lab, Biological Science Discovery Lab with ONE mandatory course with Writing Intensive (WI) attribute

Graduates of the UNH BS CS program will have an ability to:

  • 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 computer science theory and software development fundamentals to produce computing-based solutions.
  • Learn independently about new technologies, and develop the skills needed to understand them.