Discover Yourself. Admissions. Spring MS/PhD-Computer Science.

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Admissions Spring 2018 MS/PhD-Computer Science www.szabist-isb.edu.pk

MS (Computer Science) SZABIST offers MS (Computer Science) as an evening program in three specializations. The student has to do 3 courses for specialization in a particular field. The students can do bi-majors as well as open MS (CS). Degree Requirements For students with a 4-year BSCS or MCS degree, the MS Program is a 2-year program which requires 9 MS courses and Thesis/Course work (33 credits) are needed to graduate. For students with a 4-year professional degree (BE, MSc, etc), the MS Program is a 2-year program. Deficiency conversion courses (18 credit hours), 9 MS courses and Thesis/Course work are needed to graduate (Total Credit hours: 18+33). For students with a 3-year BCS degree, the MS Program is a 3year program. One year of deficiency conversion courses (10 pre-requisite courses: 30 credit hours), 9 MS courses and Thesis/Course work are needed to graduate (Total Credit hours: 30+33). *The maximum time limit to complete the MS degree is five years. Admission Requirements For admission to the MS Program, the candidate must have: RA 4-year bachelor degree in related field with a minimum of 55% marks/cgpa 2.50 from any HEC-recognized university. RGAT (General) is mandatory with minimum 50% score. OR University equivalence test with minimum 70% score. RAn entrance test and interview at SZABIST. *Test is exempted for those who have cleared GAT general. Curriculum Core Courses Research Methodology Advanced Algorithms Analysis Theory of Computation Advanced Operating Systems Advanced Computer Architecture Courses for Specilaization Computer Science (CS) Real-Time Systems Digital Image Processing Machine Learning Data Mining Software Engineering (SE) Software Requirment Engineering Software System Architecture Software System Quality Advanced Software Engineering Network & Security (N&S) Advanced Computer Networks Network Security Applied Cryptography Information Security Wireless Sensor Networks

PhD (Computer Science) The PhD program requires students to complete 48 credit hours. Course work of 18 credits (6 courses) is needed which includes core courses, electives, and independent study. Dissertation of 30 credits is also required to be completed. The maximum time limit to complete the PhD degree is 5 years. Specilaizaions Specialized courses include Database Engineering, Data Warehousing & Mining, Wireless Sensor Networks, Networking & Communication, Buniness Intelligence, Process Modeling, Artificial Intelligence, Software Engineering, Intelligent Systems, Image Processing, MIS and any other area which falls within the purview of Computer Science/Computing. Research SZABIST strongly encourages the publication of research findings of Independent Studies, Thesis and Dissertation in research journals & conferences. SZABIST also publishes its own research journal, the Journal of Independent Studies & Research (www.szabist.edu.pk/jisr-c). Admission Requirement Candidate must possess a 17.5-18 years of education with minimum 60% marks/cgpa 3.00 from any HEC-recognized university in the relevant field of study and GAT Subject with minimum 60% score. All applicants have to undergo an entrance test and group discussion / interview at SZABIST. Courses PhD course work credits may be implemented via selection of a particular mode of course execution (as recommended by the respective Graduate Committee/Program Manager) from the various available approaches, including guided/taught courses, seminars, and independent research studies. Computer Science Research Methodology Independent Studies Elective-I, II, III, IV Dissertation *(For Electives, see specialized courses)

Achievements Research Achievements M A K A M F M A A 2016-2017 uhammad Azeem, M. Usman, A.C.M. Fong. A churn prediction model for prepaid customers in telecom using fuzzy classifiers, Telecommunication Systems, March 2017, Page 1-12. fzaal, M., Usman, M., Fong, A. C. M., Fong, S., & Zhuang, Y. (2016). Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews. Advances in Fuzzy Systems, 2016, 2. han, S. A., Hussain, A., & Usman, M. (2017). Reliable facial expression recognition for multi-scale images using weber local binary image based cosine transform features. Multimedia Tools and Applications, 1-33. li, Zulfiqar. and M. Usman. A framework for game engine selection for gamification and serious games. in Future Technologies Conference (FTC): IEEE 1199-1207, Dec 2016..A. Mehmood, A.Mahmood, M.N.A Khan et al. A Scenario-Based Distributed Testing Model for Software Applications, International Journal of Advanced and Applied Sciences Volume 3, Issue 10 (October 2016), Pages: 64-71.. arhan Sabir Ujager, A. Mahmood et al, Evaluation of Wellness Detection Techniques using Complex Activities Association for Smart Home Ambient, International Journal of Advanced Computer Science and Applications Vol7 No. (8), September 2016. uhammad Imran, Rathiah Hashim, Aun Irtaz, Azhar Mahmood, Umair Abdullah" Class wise image retrieval through scalable color descriptor and edge histogram descriptor, " International Journal of Advanced and Applied Sciences, 3(12) 2016, Pages: 32-36.. Rahman, M.N.A. Khan, "An Assessment of Data Mining Based CRM Techniques for Enhancing Profitability", International Journal of Education and Management Engineering Vol. 7, No. 2, pp.3040, 2017.. Abbasi, M. N. A. Khan, "Iris-Pupil Thickness Based Method for Determining Age Group of a Person." International Arab Journal of Information Technology (IAJIT) Vol 13 No. 6, 2016.

Scholarships Information about scholarships is available with Admissions Office. Application for scholarships can be submitted on confirmation of enrolment in 1st semester. Fee Structure Admission Fee Activity Charges Tuition Fee (PKR) : : Security Fee ID Card Charges Rs. 20,000/Rs. 1,000/- Program Total Cr. Hours 1st Semester Courses Fee per Course Fee per Semester MSCS 33 3 19,050 57,150 PhDCS 48 3 19,050 57,150 : : Rs. 5,000/- (Refundable) Rs. 150/-

Life at Campus

Admission Schedule Last Date to Apply and Submit Documents Dec 14, 2017 Online Admission Test Dec 15-19, 2017 Interviews Dec 27 - Jan 06, 2018 Commencement of Classes Jan 29, 2018 (Computer-Based) Dr.Muhammad Usman Head of Department Program Manager PhD (Computing) Dr. Azhar Mahmood Program Manager MS (Computer Science) Mr. Muhammad Nadeem Khokhar Program Manager BS (Computer Science) Dr. Mohammad Rashid Salaria Professor PhD-Statistics (Moscow Institute of Economics & Statistics, Russia) Dr. Muhammad Imran PhD - Information Technology (UTHM, Johor Malaysia) Dr. Qaiser Ayyub PhD-Networking (Universiti Teknologi, Malaysia) Dr. M.N. Khan PhD-Computer Science (University of Sussex, Brighton, UK) Mr. Zubair Ahmed MS-Software Engineering (Dublin City University, Ireland) Mr. Shahzad Latif M.Phil-Electronics (Quaid-e-Azam University) Ms. Aunsia Khan Lecturer MS-Computer Engineering (CASE, Islamabad) Ms. Uzma Bibi Lecturer M.S-Software Engineering (Riphah International University, Mr. Irfan Azam Lecturer MS - Computer Science (COMSATS, Islamabad) Ms. Farah Younas Lecturer M.Sc - Advanced Computer Science (Manchester Metropolitan University, England) Apply Online Log on to: http://admissions.szabist-isb.edu.pk Online applications can also be filled at SZABIST Campus For Further Information Contact Ms. Memoona Hanif (Assitant Admission Officer) - 0316-0541795 Mr. Mujtaba Hassan (Admission Officer) - 0334-5359876 Admission Office: 051-4863371-2 (Direct Number) SZABIST Phone: 051-4863363-5 Email: Admissions@szabist-isb.edu.pk SZABIST Campus: Plot # 67, Street # 09, Sector H-8/4, Islamabad, Pakistan