Program Overview
With a world-class online Bachelor of Computer Science at EIMT, you may open the door to highly sought-after technical jobs. You'll learn in-demand computer skills, how to tackle complicated issues, and how to improve your creativity and inventiveness. The project-based approach will aid in the development of technical and transferable skills necessary for a successful career in your industry.
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Salient Features
36 Months online Program.
Specially Designed for Working Professionals.
International Networking Opportunities.
Highly Qualified Industry Experienced Faculties.
Focused & Unique Curriculum.
Global Academic Support.
Discover latest data analytics and industry trends.
Develop real life problem solving abilities.
Bachelor of Computer Science
Choose from one of seven cutting-edge subjects to specialize in. Machine Learning and AI, Data Science, Web, and Mobile Development, Physical Computing and the Internet of Things, Games Development, Virtual Reality, or User Experience are some of the areas of concentration.
Make a portfolio of work that will help you advance your career. Develop computing abilities, including project management, presentation skills, and collaboration, with a strong concentration on programming and mathematics. Make a portfolio of your courses to show future or current employers.
Develop the technical and transferable abilities required for a career in a fast-growing industry. The course material covers a wide range of topics, from fundamentals to specialized issues. Do you have a degree in something other than computer science? Through business applications of computer methods, the program allows you to upgrade your marketable and competitive abilities. Flexible degree programs are created for those with hectic schedules. You may learn at your speed while studying online.
EIMT's recognized bachelor in computer program gives a thorough understanding of all aspects of computers. This helps you to keep your options open and investigate a wide range of in-demand topics. Elective modules in your third year allow you to adapt your degree to your growing interests, such as computer vision, artificial intelligence, and advanced gaming technology.
Post-completion of Bachelor, you will be able to:
- Develop a thorough understanding of computer science, with an emphasis on how software and programming may be utilized to address real-world issues.
- Increase your knowledge and employability by participating in a one-year work experience.
- Learn how to assess computer science solutions.
- Develop abilities that will be useful in your future employment.
- With our unique Professional Pathway Scheme, which combines paid employment and education, you may get three years of professional experience.
- Collaborate with globally recognized research groups at City to produce knowledge at the cutting edge of computing science.
- Acquire cutting-edge methods to a wide range of technology.
- Learn to code and utilize programming languages correctly.
The course material extends from fundamental principles to specialized areas. If you already have a degree that is not in computer science, the program will allow you to stay current and discover commercial applications of computing principles. The flexible degree programs are meant to fit around your career, family, and other responsibilities. You may learn online on your own time.
Bachelor of Computer Science
- Eligibility: Senior Secondary Schooling
- Duration: 36 Months
- Enrollment: Being online - Throughout the Year
Who is this course for ?
General Overview of DBA Program at EIMT
The DBA at EIMT is designed in this sort of way that scholars end within 3 years. Extension years are usually not granted. The program generally comprises mainly to three phases:- 1) Course Work: This phase generally is your first semester and comprises of selection, course work on different aspects of your program like research methods, quantitative and qualitative methods and techniques. This phase ends with finalization of the topic of your research and allocation of supervisor or research faculty. There will be multiple seminars and presentations in this phase. 2) Research Lab: This phase generally is mix of your second and third semester. This generally includes data collection and analysis. This phase includes your synopsis submissions and monthly progress report submission after every six month. This phase also includes multiple seminars and presentations. 3) Doctoral Thesis: This phase is generally your third to sixth semester phase that includes thesis write-up, committee reviews, thesis re-write ups, viva voices (oral defenses) and award of the doctorate. During each of these phases, the scholar will be guided and supervised by supervisor or research faculty.Outcomes of the Program:
Respond to company issues and opportunities in a strategic manner.
Examine the ethical consequences of corporate operations.
Create, execute, and evaluate corporate problem-solving solutions
Formalize business choices and conduct a systematic examination that demonstrates critical thinking.
display good collaboration abilities with a variety of people.
Lead teams to problem-solving solutions and effective project and task completion.
Take responsibility for decisions and include personal beliefs and opinions into issue solutions.
As a consequence of rigorous information analysis, communicate ideas convincingly (both written and spoken).
Important Information Regarding Masters in Computer Science Program
Program Delivery
Professional Professors
Admission Requirements:
Candidates are eligible for admission by satisfying the following admissions criteria: Senior Secondary Scholling.
Submission and evaluation of graduate school application including; academic transcripts, ID or passport copy, and resume.
Applicants for the Bachelor in Computer Science program exempted from an English exam provided they completed their schooling years and/or bachelor’s program at a recognized school where the medium of teaching is English.
Application Go Through:
Applications are only accepted online. Once the application form is received, our team looks after past your performance and future potential and will contact you accordingly.What is Next?
Once Admission Committee’s reviews your application with +ve response, you will receive a letter of admission. Having processed the payment, you will receive an email with your login credentials and will be granted access to our Learn Management System.The Curriculum
The curriculum consists of several core courses, some language, communication skills, internships reports, minor and major project reports. The ECTS would be as given below:
Modules during your First Year
Semester 1 - 28 ECTS
This course is designed to provide a level appreciation program for an common man. After completion, the user can use the computer for the purpose of preparing personal/business letters, advice messages and the Internet (the web), sending e-mails, using internet banking services, etc. It will be also helps with PC installation programs. This helps small business owners, housewives Manage their small accounts using a computer and enjoy the world of information Technology.
The purpose of this course is to teach the principles of digital electronics. This course covers a variety of topics, including Boolean algebra, gate logic, logic circuits, flip-flops, registers, arithmetic circuits, counters, interfacing with analog devices, and computer memory.
In this module, you will learn about the importance of computer science and what are the applications that uses computer.
This module introduces the programming language C. In this paper, a student learns to understand the logic of a problem and write structured C programs.
In this module, we shall discuss at length about the history and development of Windows along with all its versions till date, Windows operating system, applications and important commands.
The purpose of this course is to study and understand the structure of computers and which function of each part. It gives a brief description of microprocessors and their types. It introduces assembly language to microprocessors now on the market.
You can choose your desired foreign language out of Spanish, Chinese, German, Portuguese, English, Hindi, Japanese, Dutch etc.
In this module, you will learn to understand the correct use of English and improve the communication skills of the students.
Semester 2 - 28 ECTS
Linux Introductory module provides students with an in-depth introduction to Linux™ for those new to the Linux environment. Students will learn how to manage files and directories, use the vi editor, work with the Linux security system to protect files and programs, work with the Linux shell to control the flow and processing of data through pipelines, design and write programs a shell of extreme complexity and manage multiple processes at the same time to maximize Linux usage.
Databases are an important part of real life application systems. This module will make the student understand various problems related to the design and implementation of database systems. The student will learn physical and logical database design, database architecture, relationships, architecture and network models. Students will be familiar with the use of SQL and PL/SQL concepts.
This course introduces the student to object-oriented programming through an exploration of the concepts of specification and program design, algorithm development, coding, and testing using modern software development environments. Students learn to program in a high-level programming language. Topics covered include algorithmic foundations, flow diagrams, problem solving, programming concepts, classes and methods, control structures, arrays and strings.
This module focuses on interactive and non-interactive 2D and 3D graphics. This module studies the principles of creating and displaying 2D and 3D synthetic images. In this module, topics include geometric shapes, 3D visualization and projection, lighting and shading, color, and the use of one or more technologies and packages such as OpenGL and Blender.
In this module, the use of design software is introduced. Topics included design process (creative process, design and practice), architectural principles, constraints, object-oriented design principles and Program idioms will be discussed. This course will use a long-term project to give students real life hands-on experience and models from building software systems.
Give the student an initial foundation in the world of C++ development, with emphasis and learn basic programming principles, from I/O operations, to handling variables, to speed management capabilities and implementation of OOP principles like classes and inheritance e.g and other advanced features such as working with files and basic network functions by using TCP and UDP protocols.
You can choose your desired foreign language out of Spanish, Chinese, German, Portuguese, English, Hindi, Japanese, Dutch etc.
At the end of this module, the student will acquire the soft skills necessary to work together and as a team player and will add value to any business / organization. The module will enhances the individual skill sets.
Modules during your Second Year
Semester 3 - 30 ECTS
Students learn to use computing and multimedia for the film and media industry, the Internet and various production developments, audio and visual media, and film production skills. The media technology curriculum also focuses on creative research and understanding of science and technology.
This course covers various aspects related to machine learning and probability theory. In addition, students will learn natural language and computer vision to master the science of using machines to perform tasks that require human intelligence.
Data mining studies algorithms and mathematical techniques that allow computers to find patterns and patterns in databases, make predictions and forecasts, and generally improve their performance by interacting with data. It is now seen as a key part of a general process called Knowledge Discovery that deals with extracting useful knowledge from raw data. Knowledge discovery techniques include data selection, cleaning, encryption, the use of various mathematical techniques and machine learning, and visualization of artifacts. This course will cover all these questions and illustrate the whole process with examples. Special attention will be given to machine learning techniques as they provide good tools for knowledge discovery
The primary objective of the module is to teach the fundamental concepts and working details of distributed systems and the underlying technologies. Topics include distributed systems architectures, processes, communication and synchronization, consistency and replication, fault-tolerance and security.
You cover topics such as current and future Internet standards, programming networks, and securing the systems. We offer strong value through laboratory programs in software engineering and computer networks; Security lab work involves a special environment where attackers’ methods can be detected and stopped using special security tools.
This course focuses on the design and development of web applications using various models
programming languages and tools. Students will be exposed to online applications
walking development. Class projects include business-to-market (B2C) development and
business-to-business (B2B) applications, among others.
You can choose your desired foreign language out of Spanish, Chinese, German, Portuguese, English, Hindi, Japanese, Dutch etc.
A complete detailed Internship report needs to be submitted for the project/business you have worked upon during/after your first year.
Semester 4 - 26 ECTS
This module begins with explaining object-oriented concepts, including abstraction, encapsulation and polymorphism in the context of the Java programming language. Then, focus shifts to the details of the Java architecture database, especially collections and efficient disk database and file access etc.
Web Mining and Graph Analytics covers aspects of web mining, fundamentals of machine learning, text mining, clustering, and graph analysis. This includes learning the basics of machine learning algorithms, how to evaluate algorithm performance, feature management, content extraction, impact analysis, distance metrics, the basics of clustering algorithms, how to evaluate cluster performance and the basics of graph analysis algorithms.
This course provides an introduction to techniques and methods related to digital forensics in a networked environment. Students will develop an understanding of key concepts related to topologies, protocols, and tools necessary to conduct research in network environments. Students will learn the importance of network forensics, forensic analysis, digital evidence analysis, and documentation of investigative processes. The course will include presentations and laboratory activities to reinforce the practical applications of the course and will require an independent research paper related to the topic of the course.
Candidates will get a detailed explanation of the relationship process and how to do it. Module will also develop candidates’ knowledge of current topics and advances in interactive database systems, object-oriented programming and XML database systems. In addition, the candidates will have to check the new architectures for database management systems and further develop their understanding of the impact Emerging data security standards may contain resources provided by future data security controls system.
The special series covers some of the most recent and promising research directions. These are often examples of new courses we develop.
In this module, you will learn about Biometric fundamentals, Biometric technologies – Biometrics vs traditional techniques , Finger-scan – Facial-scan – Irisscan – Voice-scan – components, working principles, competing technologies, Signature-scan – Keystrokescan, Standards in Biometrics – Assessing the Privacy Risks of Biometrics – Designing Privacy – Sympathetic Biometric Systems etc.
At the end of this module, the student will acquire the soft skills necessary to work together and as a team player and will add value to any business / organization. The module will enhances the individual skill sets.
Modules during your Third Year
Visual Basic is a programming language that allows rapid development of the Microsoft Windows user interface. Students will learn to use Visual Basic .NET programming, tools and techniques to create user-friendly Microsoft Windows applications.
The software testing process consists of manual, automated and SQL testing as well as programming.
This course introduces modern software engineering techniques and analysis software life cycle, including software specification, design, implementation, testing and maintenance. This course is for anyone who wants to learn to understand requirements & define solutions for complex systems.
Students will learn create dynamic and interactive websites using JavaScript. Advanced HTML, CSS,
and JavaScript are the basics of developing client-side web pages and students will learn how to use them technology for their purposes. Students begin working on the distribution section development of scripts and web applications using PHP and MySQL.
and JavaScript are the basics of developing client-side web pages and students will learn how to use them technology for their purposes. Students begin working on the distribution section development of scripts and web applications using PHP and MySQL.
Data Science Specialization (28 ECTS)
In this module, you will learn about Introduction to programming using Python (Loops, functions, methods, operators), Introduction to programming using R (documentation, data types, data structure, loops, algorithms), Database Management System using My SQL (DBMS, SQL accessing, MySQL, ETL) etc.
In this module, you will learn about Statistics For Data Science (Probability distribution, Normal distribution, Poisson’s distribution, Type 1 and Type 2 errors, Hypothesis testing), Exploring Data Analysis (reading, cleaning data, Seaborn, matplotlib, Univariate and Multivariate statistics) etc.
In this module, you will learn about Supervised Learning – Regression, Ensemble Techniques, Machine Learning Model Deployment using Flask, Unsupervised Learning, Supervised Learning – Classification etc.
In this module, you will learn about Data Visualization Using Tableau, Working with Continuous and Discrete, Data
Using Filters, Data Visualization Using Google Data Studio, Using Calculated Fields and parameters, Creating Tables and Charts, Data Visualization Using Power Bi, key features of Power BI workflow etc.
In this module, you will learn about Time Series Forecasting, Text Mining And Sentimental Analysis, Introduction to Natural Language Processing, Reinforcement Learning, Introduction to Neural Networks and Deep Learning, Computer vision etc.
Cyber Security Specialization (28 ECTS)
In this module, you will learn about What is Cybersecurity?, What is the Impact of Cybercrime?, Difference Between Linux and Windows, Basic commands, Linux Boot process, b Scheduling Tasks, Advanced Shell Scripting, Linux Networking, Information over open source projects etc.
In this module, you will learn about Ethical Hacking Concepts, Scope and limitation sof Ethical Hacking, Defense-in-Depth, Why penetration testing?, Footprinting through Search Engines, Footprinting through Web Services, Website Footprinting, Mirroring the entire website, Email Footprinting, Network Footprinting, Footprinting Tools etc.
In this module, you will learn about Enumeration Concepts, Net BIOS Enumeration, LDAP, NTP, SMTP, DNS, Vulnerability Assessment Concepts, Vulnerability Scoring Systems, System Hacking Concepts, Password cracking tools, NTFS Data Stream, What is steganography?, Covering tracks tools etc.
In this module, you will learn about Malware Concepts, Wrappers, Crypters, Stages of virus life, Ransomware, Malware Analysis, What is Social Engineering?, Insider Threats, Anti-phishing tool bar, Identity Theft, Wireless Encryption, Wireless Threats, Denial-of-Service attack, Wi-Fi Sniffer, How to blue Jack a victim etc.
In this module, you will learn about DoS/DDoS Concepts, HTTP GET/POST and slow loris attacks, Fragmentation attack, Peer-to-peer attacks, IDS, Firewall and Honeypot Concepts, Evading IDS, Detecting Honeypots, Web Server Concepts, Web Server Attacks, Web cache poisoning attack, Website defacement, Website mirroring etc.
In this module, you will learn about Wireless Concepts, Wi-Fi Authentication modes, WEP vs.WPA vs.WPA2, WEP issues, Wi-Fi Sniffer, Mobile attack vectors, Apps and boxing issues, Hacking with z ANTI, Hacking iOS, Mobile Pen Testing, IoT Concepts, Challenges of IoT, IoT threats, IoT hacking tools etc.
In this module, you will learn about Cloud Computing Concepts, Cloud Computing Threats, Cloud Computing attacks, Domain Name System (DNS) attacks, Wrapping attack, Session Hijackingusing session riding, Cloud security control layers, Cloud Penetration Testing, Cryptography Concepts, Cryptography Tools, Disk Encryption, Cryptanalysis etc.
Full Stack Specialization (28 ECTS)
In this module, you will learn about Program Structure & Basic Principles, course jounrey mapping, Programming Constructs – Loops, Functions, Arrays, An Introduction to Version Control, Git, Command-line Scripting, Basic HTML, CSS etc.
In this module, you will learn about HTML & CSS Interaction, CSS: Styling, Selectors, Box Model, Border, Margin, Padding, Bootstrap 3,4,5, JavaScript Fundamentals, Hoisting, Callbacks, Promises, Asynchronous JavaScript, DOM Manipulation, JSON, AJAX Calls, Communication with Server, Event Listeners, Local and Session Storage, Advanced JavaScript , JAVASCRIPT FRAMEWORKS – Angular or react etc.
In this module, you will learn about Object-Oriented Paradigms of Java Programming, Design – Interfaces| Abstract Classes | polymorphism , Arrays, Strings, Stacks, Queues, Linked Lists, Binary Trees and Binary Search Trees, Tree traversals, Graphs, Dynamic Programming, Hashing Algorithms, Recursion, Searching and Sorting Algorithms, Greedy Algorithms, Tables, Views, SQL Queries – Simple & Complex, JSP & Servlets, Servlet Lifecycle, Rest APIs, Backend Development Using Springboot Framework etc.
In this module, you will learn about Understanding Native Mobile Apps Development, Android fundamentals – activities, views, layouts, resources, manifest, iOS fundamentals – Storyboard, Segues, Views, View Controllers, Layouts, Installing the React Native CLI, Installing IDE: VS Code, React Native Elements: React Native UI Toolkit, Native Modules and APIs etc.
In this module, you will learn about Basics of Virtual Machines – Process Virtual Machines, Virtualization Management, Comprehensive Analysis Resource Pool – Testing Environment, virtualization of CPU, Memory and I/O devices, Cloud deployment models: public, private, hybrid, community, Architectural Design Challenges – Public Cloud Platforms: GAE, AWS, Programming models, cloud security, cloud & devops etc.
Artificial Intelligence & Machine Learning (28 ECTS)
In this module, you will learn about Python Basics, Python Functions and Packages, Working with Data Structures, Arrays, Vectors & Data Frames, Jupyter Notebook – Installation & function, Pandas, NumPy, Matplotlib, Seaborn, Descriptive Statistics, etc.
In this module, you will learn about Supervised Learning – Linear Regression, Multiple Variable Linear Regression, Logistic Regression, Naive Bayes Classifiers, K-NN Classification, Support Vector Machines, Unsupervised learning – K-means Clustering, Hierarchical Clustering, Dimension Reduction-PCA, Ensemble Techniques, Recommendation Systems etc.
In this module, you will learn about Supervised Learning – Linear Regression, Multiple Variable Linear Regression, Logistic Regression, Naive Bayes Classifiers, K-NN Classification, Support Vector Machines, Unsupervised learning – K-means Clustering, Hierarchical Clustering, Dimension Reduction-PCA, Ensemble Techniques, Recommendation Systems etc.
In this module, you will learn about RNNs and its mechanisms Vanishing & Exploding gradients in RNNs LSTMs – Long short-term memory GRUs – Gated recurrent unit LSTMs Applications Time series analysis LSTMs with attention mechanism Neural Machine Translation Advanced Language Models: Transformers, BERT, XLNet Computer vision etc.
In this module, you will learn about Introduction to GANs, How GANs work?, DCGANs – Deep Convolution GANs, Introduction to Reinforcement Learning (RL) RL Framework Component of RL Framework Examples of RL Systems Types of RL Systems Q-learning, LANGUAGES AND TOOLS- Python ,Python ML library ,Scikit-learn ,NLP library ,NLTK ,Keras, Pandas Numpy ,Scipy, Matplotlib ,TensorFlow etc.
Register Now !.. to study in Next Academic Year 2023.
Frequently Asked Questions
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How much time should I spend on coursework each week?
Expect approximately 16 hours of work per week. This may include lecture videos, readings, discussions and assessments.
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What is the difference between computer science and information systems?
Our Information Systems program is structured as an applied program of study, the application area being business information systems. Computer Science majors may choose a variety of different electives (e.g., programming languages, databases, computer graphics) and take more natural science and mathematics courses, whereas Information Systems majors follow a more focused computing curriculum and take additional business or economics courses.
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What programming languages do you teach?
In the introductory courses we use Java, primarily. Upper-level courses typically use Java, JavaScript, C, or C++.
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I have taken computer science courses at another school. Can I get transfer credit for these?
No, school credits are not acceptable.
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How do I declare a specialization for my BCS major?
To declare a specialization, you will need to contact the BCS Undergraduate program Director.
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Is Computer Science right for me ?
Computer Science is a vital, fun field of study, but it is not for everyone. Because it is such a broad field, your success can depend a great deal on selecting the program of study that best fits your interests. Bachelor in computer science relatively covers most of the topics of computer science so this program can be a good choice.
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Can I change my mind about my area of study?
Yes! We offers you more choices of subjects than you ever imagined. Many students discover a new passion and switch between subjects and faculties. Computing Science is a good place to start, because computing science is something that you can use in any discipline.
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What are the educational goals of the program?
To make you a better thinker, a better programmer, a better language designer, and a better understanding of current technology. Our philosophy is to require students to master core subjects and then give them the opportunity to specialize in an applied area of interest.
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Do I need to take the Graduate Record Examination (GRE)?
GRE scores are not required from MS applicants.
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What is the target audience of this course?
The intended audience for the Program are: IT Professionals Data Professionals Data Scientists Professionals looking for a career shift into Computer Science Sector