MREM | Approved by
AICTE | Affiliated to
ENGINEERING COLLEGE & MANAGEMENT SCIENCES
MREM Approved by
AICTE | Affiliated to
The Department of Computer Science and Engineering is established to provide undergraduate and graduate education in the field of Computer Science and Engineering innovation to students with diverse background in foundations of software and hardware through a broad curriculum and strongly focused on developing advanced knowledge to become future leaders Develop professional and soft skills for improved knowledge and employability of students. Create knowledge of advanced concepts, innovative technologies and develop research aptitude for contributing to the needs of industry and society.
“To become a centre of excellence in Computer Science and Engineering by imparting high quality education through teaching, training and research.”
The general objective of Artificial Intelligence (AI) is to make machines – particularly computers – do things that require intelligence when done by humans.
At Objective IT our data scientists turn data into useful intelligence using machine learning, predictive analytics and other statistical techniques.
The role of our data scientists is to manipulate and interpret raw data for our clients. The resulting intelligence can then be used to recommend actions, answer questions, spot and track trends and inform business decisions.
To create a secure cyber ecosystem in the country, generate adequate trust & confidence in IT systems and transactions in cyberspace and thereby enhance adoption of IT in all sectors of the economy
To strengthen the Regulatory framework for ensuring a Secure Cyberspace ecosystem.
The needs of the involved stakeholders concerning the technology and the way they present these needs to the supply organisations.
Artificial Intelligence (AI) encompasses multiple technological paradigms, each with unique uses and characteristics. AI technology that can be used in safety and security domains.
To apply data sciences for efficient security detection in the future, you need mature capabilities as you work to detect, explain, explore, and understand security events in your environment.
Wonder how Netflix predicts what its customers will enjoy? Wonder how health applications in your mobile devices are predicting your medical conditions? Wonder how your virtual assistants like Google, Siri and Alexa can do your daily work for you? Soon, your car will be able to drive itself faster and safer while you relax in the seat, but how?
That’s where AI&DS will come in to play to teach the above situations, learn how they work and generate the best results while building some fascinating models. With massive computational power, big data, artificial intelligence and machine learning systems will manage, analyse and use the data far more successfully than ever before.
This program combines two key areas of artificial intelligence and data science which are two complementary areas of Intelligent Systems, where Data science focusing on statistical techniques and Artificial Intelligence on algorithmic techniques. Both areas are in high demand in the tech industry and for Industry 4.0.
Artificial Intelligence jobs are amongst the best paid in the IT sector with both skills in ever increasing demand.
Create Expert Systems − The systems which exhibit intelligent behavior, learn, demonstrate, explain, and advice its users.
Implement Human Intelligence in Machines − Creating systems that understand, think, learn, and behave like humans Knowledge of computer science concepts in automation and specialist skills in artificial intelligence.
Data Science provides meaningful information based on large amounts of complex data or Big Data.
Extract insights from data and report the results in Data-Analytic contexts.
Information Security Analyst
Data science is a method for transforming business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more. This course is designed to meet the increasing demand for professionals who can manage both Business and Data Science aspects by analysing data and extracting valuable insights for decision making.
The subject of Data Science encompasses important disciplines like Statistics, Mathematics, and Programming. Artificial intelligence and machine learning technologies including deep learning,
reinforcement learning, neural networks, etc. are the pillars of data science. They apply this knowledge to uncover solutions hidden in the data to take on business challenges and goals.
A sound understanding of dynamics of industry, government and global business specific knowledge and expertise in business information systems.
Learn to use IT management skills to help improve business efficiency and sharpen a company’s competitive edge.
Build to help tomorrows business managers to get equipped for digital transformation, plan strategically and redesign business secure operations as well as establish business processes and direct digitalization in big and small companies.
IT Systems / Business Analyst
Social Media Specialist
IT Project Manager
Business Systems Designer
Business and Systems Analyst
Business Data Analyst
Digital Advertising / Marketing Analyst
Cyber Space is a domain generated from the interconnection of computers and telecommunication networks around the world. It is used to store, modify, and exchange data via networked and related physical structures globally, regardless of physical geography. India has seen many attacks on its critical installations and the misuse of social media and internet has brought home the threat of cyber-terrorism, which cyber security experts say the country is poorly equipped to handle. A major challenge to Cyber Space is Security.
The Cyber Security program focuses on technology, people, information, and processes to enable assured cyber operations in the context of adversaries. The program is built on a technical foundation of Computing and Information Technology.
Build Skills related to cyber threat intelligence, digital forensics and risk management technology environment.
In-depth knowledge of penetration testing, cyber forensics, malware reverse engineering and software vulnerability.
The Socio-Ethical and legal aspects of Cyber Security.
Analyse and Identify new and existing Cyber-Attacks and determine methods to mitigate them.
Penetration and vulnerability tester
Information Security Manager
Computer Science and information Technology provides a realistic balance between theoretical understanding of computation and how to build the secure databases and systems. The Computer Science will be more involved with algorithm formulation, software development and implementation, while the Information Technology will likely find a career in web development, system administration, computer security, user support, etc.
The work of CSIT people is to interact with people from all organizational functions in designing and implementing computer applications. Computer Science and Information technology can take together with the major in Computer Science / Information Technology (double major), or another minor of your choice.
Deep knowledge of Algorithms and Data Structures, and Coding skills in languages like C, Java Python and Open Source technologies.
Analytical approach to create the code for automatic complex process and solve problems.
Design, Implement, and Evaluate computer-based systems, services and applications employing the methods of software engineering as an instrument to ensure quality.
Designed and build systems ranging from a small business needing a new technology tool, to managing the many and varied IT resources in a big business.
Computer systems analyst
Computer and Information Systems Manager
Information Technology Consultant
Mobile Application Developer