The MSCS offers excellent curriculum that blends theoretic foundations of computer science with the state-of-the-art computing technologies. The program provides students with opportunities in computer science research, advanced project development and interdisciplinary study, with maximum of flexibility in study plans and class attendance options.
1. Curriculum featuring the state-of-the-art computing technologies:
- Mobile computing, mobile app development, wireless networking
- Game design and development, modeling, and simulation
- Database, data warehousing, and data mining
- Cloud computing, high performance computing, distributed computing
- Computing security
- Thesis model
- Non-thesis model
- Interdisciplinary CS model
- 4+1 BS/MS Accelerated Plan
- 4+1.5 BS/MS Accelerated Plan, with part-time MSCS
Theses from 2018
Implementation of Secure DNP3 Architecture of SCADA System for Smart Grids, Uday Bhaskar Boyanapalli
Improvement of Decision on Coding Unit Split Mode and Intra-Picture Prediction by Machine Learning, Wenchan Jiang
Fast and Accurate Machine Learning-based Malware Detection via RC4 Ciphertext Analysis, Euiseong Ko
A Multiple Classifier System for Predicting Best-Selling Amazon Products, Michael Kranzlein
Malware Image Classification using Machine Learning with Local Binary Pattern, Jhu-Sin Luo and Dan Lo
Identifying Cancer Subtypes Using Unsupervised Deep Learning, Tejaswini Mallavarapu
An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition, Nidhi patel
NEW ALGORITHMS FOR COMPRESSED SENSING OF MRI: WTWTS, DWTS, WDWTS, Srivarna Settisara Janney
Theses from 2017
On Intelligent Mitigation of Process Starvation In Multilevel Feedback Queue Scheduling, Joseph E. Brown
Feature Selection and Improving Classification Performance for Malware Detection, Carlos A. Cepeda Mora
CLASSIFICATION OF IMAGES BASED ON PIXELS THAT REPRESENT A SMALL PART OF THE SCENE. A CASE APPLIED TO MICROANEURYSMS IN FUNDUS RETINA IMAGES, Pablo F. Ordonez and Pablo F. Ordonez
Theses from 2016
Internet of Things-Based Smart Classroom Environment, Amir R. Atabekov
Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing, PRIYANGA CHANDRASEKAR
Comparative Study of Dimension Reduction Approaches With Respect to Visualization in 3-Dimensional Space, Pooja Chenna
Color Image Segmentation Using the Bee Algorithm in the Markovian Framework, Vehbi Dragaj
Definition of a Method for the Formulation of Problems to be Solved with High Performance Computing, Ramya Peruri
Theses from 2015
Detection of Lightweight Directory Access Protocol Query Injection Attacks in Web Applications, Pranahita Bulusu
Formal Specification Driven Development, Titus Fofung
Blocking Negative Influential Node Set in Social Networks: From Host Perspective, Harneet Kaur
Theses/Dissertations from 2014
Tapjacking Threats and Mitigation Techniques for Android Applications, Vanessa Cooper