At the Masters level, the school offers programs in Computer Science & Engineering, Computer Science & Engineering (Information Security) and Computer Science & Engineering with specialization in Big Data Analytics.
B.Tech Computer Science and Engineering is accredited by the Computing Accreditation Commission and Engineering Accreditation Commission of ABET, http://www.abet.org. The School offers research programmes such as M.Tech. (by research) and Ph.D. All engineering, M.Sc. programmes have been accredited by Institution of Engineering & Technology, UK (IET- formerly known as IEE, UK) during the year 2004-05.
M.Tech – CSE being a high cadre qualification helps students to find job opportunities in Core IT sectors and Research laboratories. The program has a strong rapport with Industry counterparts and confers its own advantage. The research experience from projects helps the graduates choose on a research career path suiting their interests. The knowledge gained in this program creates prospects towards becoming an academician, research scholar, Software Engineer, Computer Networks Specialist, Research and Development Engineer and well-equipped entrepreneur.
The M.Tech CSE with Big Data Analytics program focusses on the need to create Big Data Professionals. The mammoth increase in the amount and heterogeneity of data demands exponential processing of this data for business intelligence. The curriculum includes specific courses like Big Data Frameworks, Exploratory Data Analysis, Mining Massive Data, etc., to address such needs. The graduates can opt to work in Industries as Big Data Engineer, Big Data Analyst, Big Data Analytics Architect, Big Data Solution Architect and Big Data Analytics Business Consultant or prefer a research career leading to doctoral studies.
The M.Tech CSE with Information Security offers the platform for learners to become Information Security analysts or researchers. In addition to reinstating advanced core concepts of Computer Science and Engineering, specific courses like Cyber Attacks Detection and Prevention, Penetration and Vulnerability Testing, Secure Software Systems etc., are offered. These courses along with their project and lab components prepare the students explicitly for contemporary Information Security scenarios. The graduates work as Information Security Analysts, Consultants etc., for financial and other IT embedded critical industries.
According to a Gartner report, Artificial intelligence (AI) will remain top on the job opportunities across domains with multidisciplinary workloads driving infrastructure decisions through 2023. It paves an avenue to standardize data/knowledge pipelines, data streams with machine learning (ML) models to deliver real time predictions. As the current talent pools in the IT industry have already marching towards artificial intelligence, opportunities are envisioned towards becoming Data Analyst, Big Data Engineer, Software Engineer and AI researcher.
Virtusa Collaborated M.Tech(CSE) aims to develop students excel in IT specialized areas such as Full Stack developer, Data Science, Networking etc. As Full Stack Developer it does not limit to only development but also imbibe Test Driven Development / Behavior Driven Development (TDD/BDD) principles to build quality applications, specifically using various Cloud and DevOps tools. The field has a potential for continued growth in the years to come. M.Tech CSE (5 Years Integrated programme – VIRTUSA) students are offered the highest paying jobs that include the positions viz., Software developer, Full stack developer, Database Administrator and many more..
The Master's program in Data Science is designed to cater the fastest-growing job scenarios with a big demand for Analytics, Data Mining and Data Science professionals. The curriculum emphases the principles of Data Science and it encompasses courses like Foundations of Data Science, Data Science Programming, Data Visualization, Statistics, Machine Learning, etc., The students get exposed to intuitively analyze data and equipped with marketable skills built on solid foundation to take up positions like Data Analysts, Data Scientists, Database Administrator, Data Engineer, Machine Learning Engineer, Business Intelligence Analyst, Business Analyst and Data Manager or pursue a research career.