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MSCS (Executive)
An Overview:
The Master of Science in Computer Science (Executive) program is housed under Faculty of Science and Engineering. The teaching faculty comprises highly qualified and experienced professors as well as bright young faculty members. Research is of high priority in the Faculty.
Career Opportunities:
The purpose of the Master of Science in Computer Science (Executive) program is to produce computer engineers in computer science and information technology to meet the needs of expanding job market. Graduates from this area will play an effective role in academic and research activities. This program is designed especially for the Executives who are working in different fields.
Admission Requirements:
Thecandidates must fulfill the following requirements for admission in Master of Science in Computer Science (Executive):
B.Sc.in Engineering/Mathematics/Statistics/Physics/Applied Physics/Electronics or minimum Bachelor degree with Diploma in Computer Science /Engg. or 4 years of work experience in relevant fields.
Degree Requirements:
(a) Completion of 48 credits
(b) Passing all courses individually and maintaining a minimum CGPA of 3.0
Curriculum:
A student under normal work load will have 12 Credits per semester for this undergraduate program. The program with 48 credits will be required to complete the Master’s degree. These credits are divided into two areas:
- Pre-requisite Courses and
- Core Courses
Upon acceptance, students will receive a copy of their planned academic program. Students are encouraged to meet periodically with the program director to discuss academic progress, career, placement and special needs.
Courses: Credits
Pre-requisite Courses
Course Code Course Title
MCS 503 Discrete Mathematics 3.0
MCS 521 Database Concepts 3.0
MCS 522 Database Concepts Lab 1.5
MCS 571 Data Structure & Algorithms 3.0
MCS 572 Data Structure & Algorithms Lab 1.5
Required Courses (Any Ten)
Course Code Course Title
MCS 601 Data Security & Cryptography 3.0
MCS 602 Visual & Internet Programming 3.0
MCS 603 Decision Support Systems 3.0
MCS 605 Computational Complexity 3.0
MCS 606 Computer Vision 3.0
MCS 607 Knowledge Based Systems 3.0
MCS 608 Theory of Computation & Compiler Design 3.0
MCS 609 Logic Programming 3.0
MCS 610 Advaced Algorithms 3.0
MCS 611 Advanced Computer Architecture 3.0
MCS 613 Bio-informatics 3.0
MCS 614 VLSI Design 3.0
MCS 615 Digital Signal Processing 3.0
MCS 616 Optical Fiber Communications 3.0
MCS 617 Combinatorial Optimization 3.0
MTE 619 Mobile Computing 3.0
MCS 622 Distributed Systems 3.0
MCS 641 Advanced Artificial Intelligence 3.0
MCS 642 Data Mining 3.0
MCS 643 Neural Networks 3.0
MCS 644 Fuzzy Systems 3.0
MCS 645 Speech Recognition 3.0
MCS 646 Syntactic Pattern Recognition 3.0
MCS 647 Image Processing 3.0
MCS 648 Mathematical Programming 3.0
MCS 649 Machine Learning 3.0
MCS 671 Parallel Algorithms 3.0
MCS 672 Graph Theory 3.0
MCS 673 Computational Geometry 3.0
MCS 691 Computer Graphics & Animation 3.0
MCS 692 Simulation & Modeling 3.0
MIS 701 Object Oriented System Analysis & Design 3.0
MIS 703 Internet Technology 3.0
MIS 707 Networks Management 3.0
MIS 709 Information Systems Analysis & Design 3.0
MIS 711 Software Management & Quality Assurance 3.0
MIS 714 Special Topics on E-Commerce 3.0
MIS 718 Special Topics on MIS 3.0
MIS 721 Distributed Database
Query Optimization & Control 3.0
MIS 731 Data Communication & Computer Networks 3.0
MIS 751 Software Engineering & Project Management 3.0
MIS 781 Multimedia Systems & Web Design 3.0
MCS 600 M.Sc. Thesis 6.0
All M.Sc. candidates should complete supervised study and research culminating in a thesis in their fields of specialization. The completed thesis should be well-bound and printed in accordance with the standard of IBAIS University.
MSCS (Pre-requisite)
An Overview:
The Master of Science in Computer Science (Pre-requisite) program is housed under Faculty of Science and Engineering. The teaching faculty comprises highly qualified and experienced professors as well as bright young faculty members. Research is of high priority in the Faculty.
Career Opportunities:
The purpose of the Master of Science in Computer Science (Pre-requisite) program is to produce computer engineers in computer science and information technology to meet the needs of expanding job market. Graduates from this area will play an effective role in academic and research activities.
Admission Requirements:
Thecandidates must fulfill the following requirements for admission in Master of Science in Computer Science (Pre-requisite):
Minimum Bachelor Degree with Computer Literacy.
Degree Requirements:
A total of 54 Credits of graduate course work and 6 Credits thesis work are required for the M.Sc. degree with a minimum CGPA of 3.0. Depending on undergraduate preparation, students can reduce Credits by as many as 24 Credits and waivers for which a student may be eligible. However, a minimum of 36 Credits must be taken at IBAIS University.
The M.Sc. curriculum for students with a four-year Computer undergraduate degree will generally consist of 36 Credits or less of 500-level courses. Students who have poor undergraduate’s grades or have not taken undergraduate computer courses in computer programming, database concepts, algorithms, system analysis, digital logic, computer organization, assembly language and mathematics will be required to take the equivalent. Students may be required to take one or more English courses. Pre-requisite courses are at the 500-level.
Curriculum:
A student under normal work load will have 12 Credits per semester for this undergraduate program. The program with 60 Credits will be required to complete the Master’s degree. These credits are divided into two areas:
- Pre-requisite Courses and
- Core Courses
Upon acceptance, students will receive a copy of their planned academic program. Students are encouraged to meet periodically with the program director to discuss academic progress, career placement and special needs.
Courses: Credits
Pre-requisite Courses
Course Code Course Title
MCS 501 Computer Programming Language 3.0
MCS 502 Computer Programming Language Lab 1.5
MCS 503 Discrete Mathematics 3.0
MCS 505 Numerical Methods 3.0
MCS 521 Database Concepts 3.0
MCS 522 Database Concepts Lab 1.5
MCS 571 Data Structure & Algorithms 3.0
MCS 572 Data Structure & Algorithms Lab 1.5
MCS 593 System Analysis & Design 3.0
MCS 594 System Analysis & Design lab 1.5
After completing pre-requisite courses (24 Credits) students will be awarded Graduate Diploma in Computer Science.
Required Courses (Any Ten)
Course Code Course Title
MCS 591 Microprocessor & Assembly
Language Programming 3.0
MCS 601 Data Security & Cryptography 3.0
MCS 602 Visual & Internet Programming 3.0
MCS 603 Decision Support Systems 3.0
MCS 604 Advanced Operation Systems 3.0
MCS 605 Computational Complexity 3.0
MCS 606 Computer Vision 3.0
MCS 607 Knowledge Based Systems 3.0
MCS 608 Theory of Computing & Compiler Design 3.0
MCS 609 Logic Programming 3.0
MCS 610 Advanced Algorithms 3.0
MCS 611 Advanced Computer Architecture 3.0
MCS 613 Bio-informatics 3.0
MCS 614 VLSI Design 3.0
MCS 615 Digital Signal Processing 3.0
MCS 616 Optical Fiber Communications 3.0
MCS 617 Combinatorial Optimization 3.0
MTE 619 Mobile Computing 3.0
MCS 622 Distributed Systems 3.0
MCS 641 Advanced Artificial Intelligence 3.0
MCS 642 Data Mining 3.0
MCS 643 Neural Networks 3.0
MCS 644 Fuzzy Systems 3.0
MCS 645 Speech Recognition 3.0
MCS 646 Syntactic Pattern Recognition 3.0
MCS 647 Image Processing 3.0
MCS 648 Mathematical Programming 3.0
MCS 649 Machine Learning 3.0
MCS 671 Parallel Algorithms 3.0
MCS 672 Graph Theory 3.0
MCS 673 Computational Geometry 3.0
MCS 691 Computer Graphics & Animation 3.0
MCS 692 Simulation and Modeling 3.0
MIS 701 Object Oriented System Analysis & Design 3.0
MIS 703 Internet Technology 3.0
MIS 707 Networks Management 3.0
MIS 709 Information Systems Analysis & Design 3.0
MIS 711 Software Management & Quality Assurance 3.0
MIS 714 Special Topics on E-Commerce 3.0
MIS 718 Special Topics on MIS 3.0
MIS 721 Distributed Database Query
Optimization & Control 3.0
MIS 731 Data Communication & Computer Networks 3.0
MIS 751 Software Engineering & Project Management 3.0
MIS 781 Multimedia Systems & Web Design 3.0
MCS 600 M.Sc. Thesis 6.0
All M.Sc. candidates should complete supervised study and research culminating in a thesis in their fields of specialization. The completed thesis should be well-bound and printed in accordance with the standard of IBAIS University.
M.Sc. Waiver Policy
Waiver may be given for Pre-requisite courses as detailed below:
To apply for pre-requisite undergraduate credits equivalents, a student must have an average grade of `C+’ or better and courses must have been taken within the past 5 years.
Programming Language (MCS 501) and Programming Language Lab (MCS 502) are equivalent to Structured Programming Language and Structured Programming Language Lab at IBAIS University.
Discrete Mathematics (MCS 503) is equivalent to Discrete Mathematics at IBAIS University.
Numerical Methods (MCS 505) is equivalent to Numerical Methods at IBAIS University.
Database Concepts (MCS 521) and Database Concepts Lab (MCS 522) are equivalent to Database Management System and Database Management System Lab at IBAIS University.
Data Structure and Algorithms (MCS 571) and Data Structure and Algorithms Lab (MCS 572) are equivalent to Data Structure, Data Structure Lab, Algorithms and Algorithms Lab at IBAIS University.
System Analysis & Design (MCS 593) and System Analysis & Design Lab (MCS 594) are equivalent to System Analysis & Design and System Analysis & Design Lab at IBAIS University.
MSCSE
An Overview:
The Master of Science in Computer Science and Engineering program is housed under Faculty of Science and Engineering. The teaching faculty comprises highly qualified and experienced professors as well as bright young faculty members. Research is of high priority in the Faculty.
Career Opportunities:
The purpose of the Master of Science in Computer Science and Engineering program is to produce computer engineers in computer science and information technology to meet the needs of expanding job market. Graduates from this area will play an effective role in academic and research activities.
Admission Requirements:
Thecandidates must fulfill the following requirements for admission in Master of Science in Computer Science and Engineering:
B.Sc. in Computer Science & Engineering
Degree Requirements:
A total of 30 Credits of graduate course work and 6 Credits Thesis are required for the M.Sc. degree with a minimum CGPA of 3.0.
Curriculum:
A student under normal work load will have 12 Credits per semester for this undergraduate program. The program with 36 credits will be required to complete the Master’s degree.
Upon acceptance, students will receive a copy of their planned academic program. Students are encouraged to meet periodically with the program director to discuss academic progress, career placement and special needs.
Courses: Credits
Required Courses (Any Ten)
Course Code Course Title
MCSE 600 Machine Translation 3.0
MCS 603 Decision Support Systems 3.0
MCS 604 Advanced Operating Systems 3.0
MCSE 605 Special Topics on UML 3.0
(Unified Modeling Language)
MCSE 606 Robotics 3.0
MCSE 607 Data Encryption & Cryptography 3.0
MCSE 608 Telecommunications & Computer Networking 3.0
MCSE 609 Computer Security 3.0
MCSE 613 Legal & Ethical Aspects of Computing 3.0
MCS 615 Digital Signal Processing 3.0
MCS 616 Optical Fiber Communications 3.0
MCS 617 Combinatorial Optimization 3.0
MCS 622 Distributed Systems 3.0
MCS 642 Data Mining 3.0
MCS 643 Neural Networks 3.0
MCS 644 Fuzzy Systems 3.0
MCS 645 Speech Recognition 3.0
MCS 646 Syntactic Pattern Recognition 3.0
MCS 647 Image Processing 3.0
MCS 648 Mathematical Programming 3.0
MCS 649 Machine Learning 3.0
MCS 652 Software Quality Assurance 3.0
MCS 671 Parallel Algorithms 3.0
MCS 672 Graph Theory 3.0
MCS 673 Computational Geometry 3.0
MCS 691 Computer Graphics & Animation 3.0
SCSE 692 Computer Interfacing 3.0
MIS 714 Special Topics on E-Commerce 3.0
MIS 718 Special Topics on MIS 3.0
MIS 781 Multimedia Systems & Web Design 3.0
MCSE 600 M.Sc. Thesis 6.0
All M.Sc. candidates should complete supervised study and research culminating in a thesis in their fields of specialization. The completed thesis should be well-bound and printed in accordance with the standard of IBAIS University.
