The Master's program in Computer Science at the University of Dayton provides a comprehensive approach that encompasses both theory and application. Graduates will possess strong theoretical knowledge and problem-solving skills, exposure to analytical methods, and a broad understanding of various sub-disciplines within computer science. The program is tailored to individual student needs and provides a solid foundation to start a professional career.

Course Curriculum

Strong algorithm construction and implementation skills in an object-oriented language are expected from students. The degree necessitates the completion of 30 semester hours and is divided into:

1. Required Core Courses worth 9 credits divided into 3 elective subjects.
2. CPS Electives worth 15 credits
3. Culminating Experience worth 6 credits divided amongst thesis and projects.

Course Highlights

Admission Requirements

Exams

• International applicants are required to submit their GRE/GMAT scores.
• International applicants must provide a valid score in one of the following

Documents/Prerequisite

• Personal Statement
• Application
• Recommendation letters
• Previous transcripts
• Bachelor’s Degree with a GPA of 3.0 out of 4.

The Master of Computer Science will provide you with the skills and ability to solve complex real world problems by integrating computer science methods with effective management strategies, and by developing and deploying computer applications. During this degree you will be able to put theory into practice with an individual capstone project. What you will study You will study subjects in IT project management, advanced programming, algorithms and data structures. You can choose to complete subjects from the below four areas: computational intelligence, and reasoning and learning machine learning algorithms and big data advanced network security and computer security software requirements and specifications, and service-oriented software engineering You have the opportunity to specialise in one of the following majors offered at the Wollongong campus: Intelligent Systems Machine Learning and Big Data Network and Information Security Software Engineering This degree As a graduate of this program, you will be able to solve complex real-world problems by integrating computer science methods with effective management strategies. Through developing and using computer applications, you will be able to apply key information and expert judgement in computer software design to communicate knowledge, ideas and procedures to IT staff and external stakeholders. You will develop independent learning strategies to keep abreast of innovations in technology and computer science, industry trends and standards.

Further your research skills and contribute to advancements in computer science. As a computer science masters by research candidate, you have the flexibility to pursue an individual topic, or contribute to one of our existing research areas. You will join an active research community and work with academics, peers and partner organisations who have demonstrated research success in a range of specialities, including: data engineering and analytics distributed systems and networking heuristic optimisation information retrieval and web search software engineering RMIT's success is demonstrated in international university rankings, with computer science at RMIT being placed in the top 200 universities in the Shanghai Jiao Tong rankings and joint sixth in Australia for computer science and information systems in the 2015 QS World University rankings. The Australian Research Council identified our research in Artificial Intelligence and Image Processing and Information Systems as above world standard in the Excellence in Research for Australia (ERA) reports.

The Master of Philosophy aims to expand knowledge beyond the undergraduate honours or postgraduate diploma level, culminating in a research thesis. Upon completion of a master by research degree, you may apply to be considered for entry into a Doctor of Philosophy (PhD) program.

The Master in Computer Science program offered by the Florida Institute of Technology offers students an outstanding and rigorous curriculum that fully prepares them for a challenging and rapidly evolving career. The program focuses on supercomputers, model computation, algorithmic thinking, and information systems design, equipping students with the necessary skills and knowledge.

Course Curriculum

The university's master's program offers a wide range of courses with a number of specialisations in computer science, including computer security, computational intelligence, and software testing. From which the following fundamental courses offered are:-

• Automata Theory and Formal Languages
• Algorithm analysis
• Networks of Computers
• Theory and Design of Compilers
• Artificial intelligence

Course Highlights

Admission Requirements

1. Exams

• TOEFL essentials - 9 (minimum)
• an IELTS - 6.0 (minimum)
• PTE - 58 (minimum) 
• Duolingo English Test - 100 (minimum) 

2.    Documents/Prerequisite

• Transcripts
• Recommendations
• Resume
• Statement of Purpose
• English language proficiency standards