Graduate Student Online Orientation - College of Computing and Software Engineering (2024)

• Department of Computer Science
• Department of Information Technology

The MSAI program at KSU stands as Georgia's second program of its kind. As an innovative, 30-credit hour interdisciplinary graduate program, you’ll be supported to excel with advanced knowledge in the rapidly evolving domain of AI. With an emphasis on experiential learning and problem solving, KSU’s MSAI will introduce you to in-depth studies of AI core principles and technologies.

The MSAI program consists of 10 courses. Four are required courses (12 credit hours) & six are arranged based on which program track you select:

Thesis track: CS 7999 Thesis (6 credit hours taken over multiple semesters), CS 7998 Research in Computer Science, and 3 AI Elective courses.

Capstone track: AI 7993 AI Capstone (3 credit hours) and 5 AI Elective courses.

If you have an undergraduate degree in a noncomputing discipline and do not have experience or prior coursework demonstrating programming competency, you may be required to complete two 5000-level courses in the foundations of programming and data structures & algorithms in addition to the 10 courses required for the MSAI. Please speak with the program directorif you are unsure whether you need to take these courses or not.

The MSCS program focus on the algorithms, development of computing systems that requires more in-depth background in mathematics. MSCS is right for you if you are interested in programming and development of small to large computing systems in areas of Artificial Intelligence, Data Sciences, High-Performance Computing, Networks, and other similar areas. Typical job titles for MSCS graduates are software/application developer, application and/or system programmer, research scientist, etc.

The MSCS program consists of 30 credit hours (10 courses). Two core courses are required in addition to choosing an MSCS program model option:

A) Professional Model: designed for students who plan to advance their knowledge in computer science and apply their knowledge to industrial applications. A total of 8 courses are chosen from elective course options. You may choose to complete 1 concentration area or a combination of any elective courses, for a total of 24 credit hours.

B) Thesis Model: designed for students who plan to conduct computer science research under the supervision of faculty members in selected areas. You will take CS 7998 Research in Computer Science, CS 7999 Thesis (taken over multiple semesters), and 5 elective courses. You may choose to complete 1 concentration area or a combination of any elective courses, for a total of 15 credit hours.

Current available concentrations are Artificial Intelligence, Data Science, or Cyber and Network Security.

The MSCYBR program is ranked one of the 15 best online master's in cybersecurity degrees by Fortune Magazine. Our cybersecurity program does more than just teach career-ready skills; we equip you with the tools to advance as a leader in the fast-growing field of cybersecurity.

The MS in Cybersecurity program consists of 30 credit hours (10 courses). 9 core courses are required for all students, and the last course is either CYBR 7910 Capstone in Cybersecurity Practicum or CYBR 7930 Capstone in Cybersecurity Management.

The MSDSA porgram is a professional degree program which seeks to prepare a diverse student body to utilize cutting edge applied statistical methods to enable correct, meaningful inferences from data obtained from business, industry, government and health services. The use of a wide variety of commercial software will be emphasized to ensure graduates can effectively analyze real-world data.

The Data Science & Analytics Master's program is 36 credit hours total. It is comprised of

• Four required courses (12 credits)
• STAT 7220 Applied Experimental Design or STAT 7125 Design and Analysis of Human Studies
• 2 Electives chosen from a list of 8 class options
• 6-9 credit hours of a required project, which may be completed by taking STAT 7916 Cooperative Education, STAT 7918 Internship, and/or STAT 7940 Applied Analysis Project. You may take any of these courses multiple times.

The Master of Science Degree in Information Technology (MSIT) enhances career options for current and future IT professionals in the management, performance and integration of information technology systems.

The MSIT program consists of 30 semester hours (10 courses): 1) four required courses (12 hours); 2) two program options.

Option 1: IT 7993 IT Capstone (3 hours) and 15 hours of electives.

Option 2: IT 7999 Thesis (6 hours over 2 semesters) and 12 hours of electives.

Students without a computing background are required to take up to four additional IT foundation courses, which cover fundamental areas of information technology: database, operating systems and networking, programming and web development. If you are required to take the foundation course(s) check the Graduate Program Decision Comments for the course(s) you must take.

The MSSWE program prepares students to design and build high-quality software and exposes them to the latest developer technologies, tools, and state-of-the-art practices. As a Software Engineer, you will be involved in research, design, planning, architecture, development, test, implementation, and release phases. Compared to CS, MSSWE specializes in large-scale software development. MSSWE is suitable if you like a hands-on approach to coding and building software systems. Common job titles are Software Engineer, Solution Architect, UI/UX Designer (Front-end developer), Back-end Developer, and Full-stack Developer.

The MSSWE program is a total of 30 credit hours or 10 courses. 5 courses (15 credit hours) are Core Software Engineering courses all students must take. You may choose between 2 program options:

1) Capstone Option - take SWE 7903 Software Engineering Capstone and 4 elective courses

2) Thesis Option - take SWE 7803 Master's Thesis for a total of 6 credit hours (usually taken over 2 semesters) and 3 elective courses.

In addition to our 6 Master's of Science programs, we offer 8 graduate certificates. These certificates may be taken as a stand-alone program or embedded in an MS program, where curriculum allows. Depending on your prior computing experience or undergraduate degree field, you may be required to take some or all of the courses in a foundations certificate prior to moving on to a Master's program.

All graduate certificates are 12 credit hours.

• Computer Science Foundations Certificate
• Data Analytics and Intelligent Technology Certificate
• Enterprise IT Management Certificate
• Health Information Technology (HIT) Certificate
• Information Technology Foundations Certificate
• Information Technology Security Certificate
• Software Engineering Certificate
• Software Engineering Foundations Certificate

Print a copy your curriculum sheet. Curriculum sheets change every year, so it is important that you are following the correct sheet for your catalog year. Catalogs follow academic years, which run Fall (August) - Summer (July). Your catalog year is dependent on when you start; E.g. if you start in August of 2024, January of 2025, or May of 2025 you will follow the 2024-25 catalog year.

It is highly recommended to create a two-year study plan using the template below. The template contains general information, tips, and suggestions on courses to take to satisfy your program requirements. Please complete a study plan and send the completed plan to Ms. Melinda Ross, Graduate Student Support Director, or your program director for verification.

Feel free to contact Ms. Ross and your program director if you need help with your study plan.

You need to use Owl Express to register for classes.

• Obtain and activate your NetID if you have not yet done so.
• Log in to Owl Express.
• Using your curriculum sheet in which you have identified the courses you need to take, determine the subject and course number of the classes you need to register for. E.g. for the course CS 5000 Foundations of Programming, the subject will be 'CS-Computer Science' and the course number is 5000.
• Watch this video on how to register for step-by-step instructions and helpful information. You may pause playback to follow along if you wish. If you prefer written instructions:
  
  1. 1. Once you're logged in to Owl Express you will click the 'Registration' link/tab to bring up the registration menu.
     2. Click 'Register for Classes' and choose the term you are registering for.
     3. You should then see a page that is split into 3 sections: Find Classes/Enter Your Search Criteria, Schedule, and Summary.
     4. Using the subject and course number of a class you previously identified on the curriculum sheet, you will enter the subject in the Find Classes/Enter Your Search Criteria field that says 'Subject', then type in the course number in the next form field titled 'Course Number'. You may enter additional search criteria if you wish.
     5. Click the 'Search' button.
     6. The screen should refresh with course options currently available. Review the details of each section (such as Meeting Times, Campus and Status). If the Status of the course says "0 of 30 seats remain", that means the course is full and you will not be able to register for that section.
        1. You can also click on the title to see more detailed information about that course and section.
     7. Once you have chosen the section of the course you want to register for, click the 'Add' button that is in the right-most column of the grid/table.
     8. This will populate that section in the Schedule Details and Summary areas, with the status of 'Pending'.
     9. Make sure '**Web Registered** ' is selected in the Action dropdown list in the Summary area.
     10. Click the 'Submit' button.
     11. The status of the course in the Summary area should change to 'Registered' with a green background if there are no errors.
     12. You are now registered for the class! Repeat this process for each course you wish to add.
• If you encounter issues with registration (holds or errors), check out this page on the Registrar's website to find more information and how to resolve them.
• If the class you'd like to register for is full/closed, you may get on the wait list for it. To wait list, you will follow the same instructions as registering for a class, but select 'Wait list' from the Action dropdown in the Summary section of the Register for Classes page and click submit. The course's status should show 'Waitlisted' instead of 'Registered'.
  • If you sign up on a wait list, you are not actually registered for the class.
  • You'll have 18 hours from the time you're notified via email sent to your KSU email address to go in and switch from being waitlisted to 'Web Registered'. If you do not register within that 18 hours, you will be automatically deleted from the wait list.
• You may alternatively find classes by clicking on the 'Browse Classes' link on the Registration menu in Owl Express and write down the CRNs and course information before going into the 'Register for Classes' screen, clicking the tab titled 'Enter CRNs', and putting all the CRNs in at one time.

If you encounter errors you can't resolve yourself, have a hold or can't find an open class for a course you absolutely must take in the semester you're registering, please contact Melinda Ross (for AI, CS, DSA, IT & SWE) or Gina Gavin (for CYBR). Make sure that you include your 9-digit KSU ID number and the issue you're having in your email (if it's a registration error, include what the error says).

You may check to see if there's textbooks assigned and what they are for your courses after you have registered for classes - to do that, you may either

• On Owl Express, click 'Student Services' then 'KSU Bookstore' and select the term you're preparing for and click submit. This will automatically pull up any assigned books you may have as long as you're registered for classes in the term you've chosen.
• Visit https://bookstore.kennesaw.edu/ and check out the submenu for 'Textbooks' in the navigation menu. You may shop for physical textbooks, digital textbooks, compare prices online and more!

The learning material of classes are hosted on our course Management site, D2L Brightspace. You can login to D2L through the Current Students page which lists many services and resources available to students on both campuses and online. The login credentials are your NetID and password.

You’ll have access to registered courses in D2L on the first day of class. Contact the instructor of the course if you need course material earlier.

As a graduate student, you may have the opportunity to become a graduate assistant which comes with great benefits.

The College of Computing & Software Engineering has a great relationship with companies such as ADP, The Home Depot, AT&T, etc., and offer internship opportunities to our students. You can find detailed information about internships here:

Please contact the CCSE Internship coordinator Darin Morrow for more information.

Engaging with the CCSE community is the best way to succeed with your academic and professional goals. The best way to stay up-to-date with current and upcoming opportunities to engage is to regularly check your KSU email and pay attention to the weekly student newsletter sent by the Office of the Dean.

• Keep an eye out for events - CCSE holds several opportunities each fall/spring semester to get real-world, hands-on experience you can use on your resume and connect with industry partners.
• Mentoring is an excellent way to grow your network and practice critical soft skills.
• We have a diverse and engaging range of student organizations that offers you a dynamic platform to connect, collaborate and explore your passions.
• Participating in research with CCSE faculty will expose you to the consistent innovation happening in CCSE and can be a great way to make yourself stand out in the job market.

Once again, we are excited that you choose KSU for your graduate studies. If you experience any issues during your journey, our faculty and staff are dedicated to help you out.

• Program Director - Your Graduate Academic Advisor and contact for advising and general program related questions.
  • Artificial Intelligence (MSAI) - Dr. Mahmut Karakaya | mkarakay@kennesaw.edu
  • Computer Science (MSCS) - Dr. Yong Shi | yshi5@kennesaw.edu
  • Cybersecurity (MSCYBR) - Dr. Maria Valero | mvalero2@kennesaw.edu
  • Data Science & Analytics (MSDSA) - Dr. Austin Brown | abrow708@kennesaw.edu
  • Information Technology (MSIT) - Dr. Shirley Tian | xtian2@kennesaw.edu
  • Software Engineering (MSSWE) - Dr. Reza Meimandi Parizi | rparizi1@kennesaw.edu
• Ms. Melinda Ross - Graduate Student Support Director. Ms. Ross is your contact for program related questions such as registration, academic holds, financial aid, etc. Email: gradccse@kennesaw.edu
• Ms. Gina Gavin - Program Coordinator for the MS in Cybersecurity students. You may contact her if you have questions about registration, holds, courses, etc. Email: ggavin@kennesaw.edu
• UITS Student Help Desk - Assistance with university IT services. Phone: 470-578-3555, Email: studenthelpdesk@kennesaw.edu
• Tutoring for Java, C++ and C# is available in J-253, the CCSE Tutoring Center. You can schedule an in-person or online appointment by contacting Ms. Svetlana Dimova, Program Coordinator, or come to the lab as a walk-in with no appointment needed.
• The Writing Center is available to help all students with any writing assignment in any class you're taking.