Computer Science & Engineering (Graduate Program)

Degree Programs

For information regarding the UNDERGRADUATE PROGRAM, click here.

Program Overview

The Division of Computer Science and Engineering in the School of Electrical Engineering and Computer Science offers the research oriented Master of Science in Computer Science and the Doctor of Philosophy in Computer Science. It provides training to prepare talented students for research careers in universities or industrial laboratories, as well as work as computing practitioners in industry. There is a strong and continuing demand for computer scientists to work at the frontiers of knowledge in both theoretical and applied specialties. The curriculum provides for graduate study in several areas of computer science, including algorithms and theory, computer architecture, artificial intelligence, software engineering, knowledge discovery and data mining, digital media, database management, operating systems, networking, wireless sensor networks, cybersecurity high performance computing, distributed computing, robotics, scientific computation, visualization, and programming languages and compilers.

Administration

Bijaya B Karki, Chair
Konstantin Busch, Graduate Advisor
TELEPHONE	225-578-1252
FAX	225-578-1465
WEBSITE	cse.lsu.edu/

Admission

Applications and supporting materials for all graduate study must be submitted through the online application site for the LSU Graduate School. Official transcripts, official test scores, and other materials that come from third-party sources must be mailed to: Graduate Student Services, 114 West David Boyd Hall, Baton Rouge, LA 70803. These paper documents are stored electronically and departments have access to all materials submitted by and/or on behalf of a student applying to graduate study.

Applications for admission are received and evaluated by the department. Applicants must adhere to the application deadlines established by the Graduate School. Note that the Computer Science and Engineering Division’s priority deadlines are earlier: for fall admission, the application deadline is January 15, and for spring admission, the application deadline is October 1.

Students seeking admission must submit satisfactory credentials from previous study, acceptable GRE scores, three letters of recommendation, and a statement of purpose. International students whose native language is not English must also submit an acceptable TOEFL, IELTS, or PTE score.

Financial Assistance

Financial assistance is available to some students. Support may be available through the student’s home department or other units in the form of research or teaching assistantships. A student should contact his or her home department for more information on available assistantship positions. To ensure consideration for financial aid, all application materials should be submitted in accordance with deadlines established by the LSU Graduate School. Students who have been admitted to the Computer Science and Engineering Division will automatically be considered for financial assistance by the department. No additional application form is required for consideration for financial aid. The division’s financial aid application deadlines are thus the same as the admission deadlines.

Graduate Faculty

(check current listings by department by clicking this link)

Gerald Baumgartner (M) • Programming languages, compiler optimization, and software engineering tools

Steven Brandt (3F) • High performance computing, scientific computing, multicore system

Konstantin Busch (M) • Distributed algorithms and data structures, communication algorithms, algorithmic game theory

Doris L. Carver (M) • Formal requirements and specification techniques, software development environments, reverse engineering, software reusability

Feng Chen (6A) Operating systems, storage systems, data management in cloud and large-scale distributed storage systems

Jianhua Chen (M) • Artificial intelligence, machine learning, data mining, knowledge representation

Hartmut Kaiser (3F) • High performance computing, parallel-X execution model, programming methods

Bijaya B. Karki (M) • Scientific computing, visualization, materials simulations

Robert L. Kooima (6A) • Real-time 3D computer graphics, interactive display technology, digital imaging and image processing

Sukhumay Kundu (M) • Software design and modeling, data mining, networking, graph theory

Kisung Lee (6A) • Big data data bases and analytics, cloud computing, distributed computing systems

Anas Mahmoud (6A) • Software engineering, requirement engineering, code analysis

Supratik Mukhopadhyay (M) • Software engineering for distributed systems, logic and automated reasoning, video analytics

Seung-Jong Park (M) • Wireless sensor networks, wireless ad hoc networks, high speed network, network convergence, big data

Golden Richard III (M) • Reverse engineering, cybersecurity, information assurance, digital forensics

Rahul Shah (M) • Algorithms, data structures, database systems

Mingxuan Sun (6A) • Machine learning, data analytics, and data visualization

Evangelos Triantaphyllou (M) • Data mining and knowledge discovery from databases, multicriteria decision making, discrete optimization, operational research

Qingyang Wang (6A) • Distributed systems and cloud computing, large-scale web applications

Richard Clint Whaley (M) • High performance computing, empirical optimization, parallel computing, backend compiler optimization, scientific computing and computer architecture

Jian Zhang (M) • Machine learning, data mining, algorithms design and their applications to network security

Programs

Doctor of Philosophy

Computer Science, Ph.D.

Master of Science

Computer Science, M.S.