Accelerate your career by earning both a B.S. and M.S. in Computer Science in just
five years.
Computer Science plays a central role in our understanding of the applications of
technology. UND’s accelerated B.S./M.S. program opens the door to an early start in
this dynamic profession.
Complete the required courses, and you'll earn both your bachelor's and master's degrees
at the same time. You’ll declare your program of study as an undergraduate student
and follow a straightforward plan to graduate with a master’s degree.
Incoming freshman or transfer students apply to UND as an undergraduate student.
Early Graduate Courses: Begin your graduate-level courses at the start of your fourth year. This will allow
you to delve deeper into advanced topics and gain a head start on your master's degree.
Junior-Year Research: Embark on your thesis research as early as your junior year, providing you with a
unique opportunity to conduct research early in your academic journey.
The computer science program at UND is characterized by small class sizes and a collaborative
learning approach. Engage closely with acclaimed faculty who guide you through cutting-edge
topics such as artificial intelligence, mobile app development, and software engineering
and design. This personalized approach ensures that you not only acquire theoretical
knowledge but also gain practical skills that are highly relevant to the rapidly evolving
tech industry.
You'll have the chance to make a lasting impact on the field by undertaking an original
thesis. This hands-on experience allows you to explore your interests, contribute
to ongoing research, and showcase your proficiency in a specific area of computer
science.
Advance your technology skills with a curriculum that encourages a formal, abstract,
theoretical and practical approach to the study of computer science.
Develop creative thinking, problem solving and research skills, along with specialized
expertise.
Flexible course offerings and specializations allow for a tailored educational experience.
Gain access to on-campus computing power. We have two computer labs, a set of diverse
servers and a high-performance computing (HPC) system.
UND is a leader in big data expertise. We are the lead institution in a multi-university
project for digital agriculture, funded by the National Science Foundation. And we co-lead another NSF project to determine industry and academic computational
needs in the Midwest.
Conduct research, develop software and manage systems for many schools and departments.
What can I do with an accelerated computer science degree?
90%
Job placement rates are consistently above that level for UND computer science program
graduates
UND
120K
Average salary for a software developers with a master's in computer science
UND computer science graduates have gone on to careers all over the world in all types
of industries, including high-tech, defense, aviation, financial and more. Our graduates
are employed by:
Apple
Digi-Key
Fast Enterprises
Google
HGST
Microsoft
Honeywell
Rockwell-Collins
Blue Cross Blue Shield
Goldman Sachs
Deutsche Bank
NAS
Unisys
Mayo Clinic
Jobs with an Accelerated Computer Science Degree
With a master's in Computer Science, you can be competitive in mid- to high-level opportunities related to computers
systems and applications, such as:
Software Engineer
Systems Engineer
Cybersecurity Specialist
Systems Integration Engineer
Computer Scientist
Network Analyst
Accelerated Computer Science Degree Courses
CSCI 532. High Performance Computing and Paradigms. 3 Credits.
A study of current topics in threads, inter-process communication and synchronization, master-slave and peer designs for concurrency, client-server architectures, cluster/grid computing and massively parallel computer architectures. A considerable amount of programming will be done in one or more of these environments. F, odd years.
A study of current topics related to the design and implementation of large software systems. Course content may vary with instructor and student interest. Potential topics include: software testing and validation, programming environments, program metrics and complexity, design methodologies, software reliability and fault tolerance. Prerequisite: CSCI 463.
CSCI 543. Machine Learning. 3 Credits.
An introductory course in machine learning for data science. Topics include the learning algorithms of a Bayesian network, neural network, parametric/non-parametric methods, kernel machine, support-vector machine, etc. for regression, classification, clustering, dimensionality reduction, etc. Prerequisite: CSCI 365 or CSCI 384. F, odd years.
CSCI 551. Security for Cloud Computing. 3 Credits.
Cloud computing scheme aims to provide users with a shared computing infrastructure. The privacy and security concerns in cloud computing are different from the security concerns present in a dedicated data center. This course focuses on these security concerns and countermeasures for a cloud environment. This course provides an overview of cloud computing and virtualization, the critical technology underpinning cloud computing, and the major threats to the operations of cloud computing. Topics may include access control, identity management, denial of service, account and service hijacking, secure APIs, malware, forensics, regulatory compliance, trustworthy computing, and secure computing. Prerequisite: CSCI 370, CSCI 451; and one of the following: CSCI 327, CSCI 427 or CSCI 555. S, odd years.
CSCI 522. Theoretical Foundations of Computer Science. 3 Credits.
A selection of topics from theoretical computer science, possibly including formal languages, automata, other models of computation, and the theory of computability, decidability, and complexity. Prerequisite: CSCI 492.
CSCI 575. Analysis of Algorithms. 3 Credits.
The time and space complexity of classical computer algorithms is analyzed. NP hard and NP complete problems are characterized and illustrated. Prerequisite: CSCI 435.
Every course is available in an asynchronous format. For those who prefer real-time
interaction, select courses offer an optional synchronous lecture option.
With asynchronous classes, you do not attend class at a set time. If you need to balance
work, family and other commitments, this flexible format allows you to learn anywhere
at any time.
Depending on your instructor, you’ll learn online through:
Lesson modules
Streaming video content
Virtual libraries
Posted lectures
Online simulations
There will be times when you interact with your instructor and classmates through
online discussion boards, polls and chat rooms.
Your learning revolves around materials that can be accessed on your own time within
a set time frame. However, this is not a self-paced course. You’ll have structure
and deadlines.
Synchronous classes are held in real-time. If you’re the kind of learner who likes
active discussion and immediate feedback through live interaction, you’ll enjoy this
online course format.
Every class is different, but generally, you’ll log into a virtual classroom at scheduled
times to:
Listen to a lecture
Ask questions
Participate in class discussions
Conduct group activities
Participate in video-sharing
Have chat conversations
Use interactive whiteboards
Take live polls
You should prepare for your classes by finishing any assigned readings, compiling
questions for your instructor and thinking about how to contribute to the next live
class.
Over a third of UND's student population is exclusively online; plus, more take a
combination of online and on-campus classes. You can feel reassured knowing you won't
be alone in your online learning journey, and you'll have resources and services tailored
to your needs.
No matter how you customize your online experience, you’ll get the same top-quality
education as any other on campus student.
Same degree: All online programs are fully accredited by the Higher Learning Commission (HLC). Your transcript and diploma are exactly the same as our on-campus students.
Same classes: You’ll take courses from UND professors, start and end the semesters at the same time
and take the same classes as a student on campus.
Real interaction: You can ask questions, get feedback and regularly connect with your professors, peers
and professionals in the field.
Your own academic advisor: As an invaluable go-to, they’re focused on you, your personal success and your future
career.
Free online tutoring: We're here to help you one-on-one at no cost. Plus, get access to a variety of self-help
online study resources.
Unlimited academic coaching: Need support to achieve your academic goals or feeling stumped by a tough course?
We'll help with everything from stress and time management to improving your memory
to achieve higher test scores.
Full online access: Dig into virtual research at UND's libraries. Improve your writing skills with online
help from the UND Writing Center. Get online access to career services, veteran and
military services, financial services and more.
24/7 technical support: UND provides free computer, email and other technical support for all online students.
Networking opportunities: Our significant online student population means you’ll have a large pool of peers
to connect with. UND has numerous online events and activities to keep you connected.
Best Online College
Our high alumni salaries and job placement rates, with affordable online tuition rates
make UND a best-value university for online education. UND's breadth of online programs
rivals all other nonprofit universities in the Upper Midwest making UND one of the
best online schools in the region.
UND ranks among the best online colleges in the nation for:
Affordability
Student satisfaction (retention rate)
Academic quality (4-year graduate rate)
Student outcomes (20-year return on investment per Payscale.com)
Leaders in Computer Science
As a leader of Big Data, UND's goal is to make things more efficient, more effective
and safer for North Dakotans.
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