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Bachelor of Science in
Software and Data Engineering

Student at Computer

Earn your Software and Data Engineering degree in just a year.

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This is a one-year post bacc Bachelor of Science degree in Software and Data Engineering.

Are you looking to get ahead in the computer science industry but have a bachelor's degree in a different field? This accelerated program is designed for you! This 40-credit curriculum awards an additional bachelor’s degree in a one-year, three semester immersive program.

After completing this degree, you'll be able to write software applications with various programming languages, identify and analyze software requirements, learn to use the latest software engineering tools, and apply your understanding of professional ethics to the field of software engineering.

In your final session, you'll have a choice to either complete a capstone project where you'll demonstrate your mastery of software engineering on a long-term project, or earn credit experience with an internship through the Bellarmine Career Development Center.

Frequently Asked Questions

How do I know if this program is right for me?  
It's important to note that a requirement for this degree is that you've previously earned a bachelor's degree in a field outside of computer science.

This program is a great fit for people who are:

  • already working in software and data engineering and need a bachelor's degree for professional advancement
  • looking to change their career path to meet the steadily growing need for more software and data engineers

One-Year Accelerated Curriculum

Sample Schedule

Each session is approximately 7.5 weeks.

Semester 1 (August - December)

Session 1: 7 credit hours

  • CS 100
  • CS 130

Session 2: 9 credit hours

  • MATH 120
  • CS 131
  • PHIL 434

Semester 2 (January - May)

Session 1: 6 credit hours

  • CS 215
  • THEO 200

Session 2: 6 credit hours

  • CS 300
  • CS 311

Semester 3 (May - July)

Session 1: 6 credit hours

  • CS 400
  • CS 330

Session 2: 6 credit hours

  • CS 430
  • CS 450 or CS 444

 

Course Descriptions

CS 100 – Introduction to Computing

Introduction to basic concepts in computing including, but not limited to, the history of computing, basic hardware and software, command-line interfaces, version control, shell-scripting, programming languages, and the social impact of computing on society. (Corequisite: CS 130).

CS 130 – Programming Fundamentals

Introduction to fundamental concepts of procedural programming; data types, control structures, functions, arrays, and files; the mechanics of running, testing, and debugging; problem solving techniques; multiple operating system environments; basic web page development; introduction to the historical and social context of computing and an overview of computer science as a discipline.  

CS 131 – The Object-Oriented Paradigm 

Introduction to the concepts of object-oriented programming; definition and use of classes along with the fundamentals of object-oriented design; inheritance and polymorphism; overview of programming language principles; simple analysis of algorithms; basic search and sorting techniques, and an introduction to software engineering issues; introduction to generic programming. (Prerequisite: CS 130.) 

CS 215 – Data Structures 

Algorithmic notation; algorithm design; elementary data structures and their storage representations; linear data structures and their sequential and linked representations; nonlinear data structures and their storage representations; memory management; file processing; sorting and searching algorithms. (Prerequisites: CS 131, Math 120.) 

CS 300 – Database Management Systems 

Organization; independence of and relationships among database concepts; logical and data structure representation of hierarchical, network and relational data models; data normalizations; description languages, query facilities; file organization and security; index organization. (Prerequisite: CS 215.) 

CS 311 – Application Development in Visual Languages 

Design of an effective application interface in visual environment; procedures, variables, and operations; projects, forms, and modules; data structures and control structures; data files and database management; input and output techniques; objects and classes; ActiveX components, and web connections. (Prerequisite: CS 215.) 

CS 330 – Algorithms 

Algorithm design techniques, including backtracking, heuristics, recursion, and simulation; experimental and analytical determination of algorithm performance; applications of algorithm design to various areas of computer science, such as artificial intelligence and systems programming. (Prerequisite: CS 215.) 

CS 400 – Software Design and Development 

Design techniques; formal models of structured programming; organization and management; estimating program libraries; documentation; organization of a large-scale project by students. (Prerequisite: CS 215.) 

CS 430 – Machine Learning 

This course introduces you to various machine learning models. You will learn the fundamental concepts behind these models as well as a formal understanding of how, why, and when they work. Along the way, you will learn about data visualization, data preparation, model implementation (supervised and unsupervised), and model evaluation. (Prerequisite: CS 215 or permission of instructor)  

CS 444 – Internship 

The intern is provided with work experience and training to gain an understanding of the uses of the computer in an outside setting. (Prerequisite: junior or senior standing in computer science.) 

CS 450 – Capstone 

A capstone course for majors in computer engineering and computer science. Satisfactory completion of a major design and development project with both a written report and an oral presentation are required. Includes a comprehensive exam in computer engineering or computer science as appropriate. (Prerequisite: CS 215 and Senior standing in the CE/CS/SDE program) 

MATH 120 – Discrete Mathematics 

An introduction to topics involving discrete sets of objects. These include number systems, sets and their operations, propositional logic, quantification, algorithms, functions, recursion, relations, and graph theory. The course contains an introduction to proof methodology, including mathematical induction, based on the preceding topics. This course makes extensive use of the computer for exploration and discovery of the concepts. (Prerequisite: MATH 116 (precalculus) or its equivalent.) 

PHIL 434 – Technology, Ethics, and Society 

This course will examine, from various philosophical perspectives, numerous ethical, social, and legal issues raised by current and evolving technologies, both in terms of how these technologies test the limits of our existing legal & ethical frameworks, and how our existing legal & ethical frameworks reveal the appropriate aims or limits of these technologies. Topics covered include data privacy & surveillance, online speech & moral responsibility, intellectual property, and the putative obligation to control technology. (This course is being developed by Dr. David Scott from the Bellarmine University Philosophy Department). 

THEO 200 – Ultimate Questions 

An investigation of the fundamental questions of human meaning and of the nature of religious experience as response to such questioning. The course provides an introduction to religious experience, to theological terms, concepts, and methods, and to the ways that ultimate questions are dealt with in a religious context, with specific focus on the basic themes in Christianity. This course also provides an encounter with Thomas Merton's writings and his response to ultimate questions. 

Tuition

Total estimated tuition and course fees: $26,600. This rate does not include any books, supplies, or additional expenses.

Prerequisites

Students admitted to the program must have:

  1. A bachelor’s degree or higher in a non-CS/CIS discipline from a regionally accredited college or university 
  2. Pre-Calculus (equivalent to MATH116) or Calculus (equivalent to MATH117 or MATH125) 
  3. A minimum cumulative GPA of 2.5 on a 4.00 scale for bachelor’s degree

The Bellarmine BSSDE program also requires an official TOEFL iBT (Test of English as Foreign Language internet-based test) or IELTS (International English Language Testing System) score for verification of language proficiency for applicants who possess any of these criteria: 

  • Born outside the US 
  • English is not the primary language 
  • Obtained a degree or required admission pre-requisites from a non-US institution 

Faculty

At Bellarmine, whether you are learning online or on-campus, you’ll receive dedicated support from passionate professors.

Dr. Muzaffar Ali, Professor and Chair

Dr. Robert Kelly, Assistant Professor, Data Science Program Director

Dr. Nathan Johnson, Assistant Professor

Contact

Sara Yount Pettingill, PhD
Dean of Graduate Admission
502.272.8401
E-mail

Robert R. Kelley, PhD
Assistant Professor of Computer Science
502.272.7548
E-mail