ENG: Bachelor of Science (multiple majors): Computer Science (MS) (see specializations)

Current Undergrad Program

Students in earlier catalog years are welcome to apply if they change to an Accelerated-eligible catalog. Consult an undergraduate advisor about the impacts of a catalog change.

Future Graduate Program

Graduate Admission Application:

  • Standard Accelerated requirements for eligibility and application: See Accelerated Master's.
    • Important: In the application's Program Selection page, select from the "UNL Undergraduates: Accelerated Master's Programs" section — otherwise you will be applying to a non-Accelerated program (with different application requirements).
  • Specific to this program:
    Admission Requirements
    • Personal Statement: Your statement should include your research interests, your objectives, and names of potential faculty advisors.
    • Prior to application, completing at least 12 undergrad credit hours in the master's degree discipline with a grade of at least B (including at least one of CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H)
    • Not required: GRE, letters of recommendation, resume

Interested?

See Accelerated Master's: plan your timeline, confirm your eligibility, and get complete information.

Courses

A student in this Accelerated program may count up to 12 credit hours of the following graduate courses toward both the current bachelor's degree and the later master's degree, subject to each degree's minimum grade requirements.

For MS with no specialization:

Graduate CourseUndergraduate CourseCredit HoursFrequency Offered
CSCE 811. Data Modeling for Systems DevelopmentCSCE 4113fall
CSCE 813. Database SystemsCSCE 4133fall
CSCE 823. Design and Analysis of AlgorithmsCSCE 4233fall, spring
CSCE 828. Automata, Computation, and Formal LanguagesCSCE 4283fall, spring
CSCE 838. Internet of Things CSCE 4383fall
CSCE 840. Numerical AnalysisCSCE 4403fall, spring
CSCE 845. Eye Tracking in Software Eng CSCE 4453spring
CSCE 851. Operating Systems Principles CSCE 4513fall, spring
CSCE 862. Communication Networks CSCE 4623fall, spring
CSCE 863. Data and Network SecurityCSCE 4633spring
CSCE 867. Testing, Verification and AnalysisCSCE 4673fall
CSCE 876. Introduction to Artificial IntelligenceCSCE 4763fall
CSCE 877. Cryptography and Computer Security 3fall
CSCE 878. Introduction to Machine Learning CSCE 4783fall
CSCE 879. Introduction to Deep LearningCSCE 4793spring

 

For MS with specialization in Computer Engineering:

Graduate CourseUndergraduate CourseCredit HoursFrequency Offered
CSCE 811. Data Modeling for Systems DevelopmentCSCE 4113fall
CSCE 823. Design and Analysis of AlgorithmsCSCE 4233fall, spring
CSCE 829. Information TheoryCSCE 4293spring
CSCE 830. Computer Architecture CSCE 4303fall, spring
CSCE 836. Embedded Systems CSCE 4363spring
CSCE 838. Internet of ThingsCSCE 4383fall
CSCE 839. Robotics: Algorithms and ApplicationsCSCE 4393fall
CSCE 845. Eye Tracking in Software Eng CSCE 4453spring
CSCE 851. Operating Systems Principles CSCE 4513fall, spring
CSCE 862. Communication NetworksCSCE 4623fall, spring
CSCE 863. Data and Network SecurityCSCE 4633spring
CSCE 865. Wireless Communication Networks CSCE 4653fall
CSCE 877. Cryptography and Security  3fall
CSCE 878. Introduction to Machine Learning CSCE 4783fall
CSCE 879. Introduction to Deep LearningCSCE 4793spring