Admission Process

Learner’s Authentication

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☑  Fill in Your basic details

☑  Complete Mobile number verification

☑  Complete e-Mail verification

Admission Form

☑  Fill in basic personal information

☑  Fill in Educational and Employment details

☑  Upload Photo and Signature

☑  Online Fees Payment

☑  Submit Form

 

Admission
Confirmation by University

After the verification of all the documents and fee receipts, admission confirmation email and SMS will be sent, which will include the student login credentials along with link.

MCA program by Hindustan Online

About Hindustan University

HINDUSTAN ONLINE – CODE welcomes and supports learners from all over the world and believes that international students make our platform a more vital and more vibrant intellectual community. At present, the majority of our international learners come from 37 countries. Our counselors are present to understand the needs of every area in every country, which helps us to improve our online education ecosystem. In addition, our counselors have years of experience interacting with learners around the globe, so you can rest assured that they know your needs before you even mention them to them. desk and field jobs.

Why Choose HINDUSTAN ONLINE

  • Pre-Scheduled live classes
  • Mentorship by Industry Leaders
  • Market-oriented specializations
  • Well-researched and crafted Curriculum
  • Blended learning
  • Experiential learning
  • Peer learning
Quadrant 01| e-Tutorial
  • Live Online A/V Session
  • Pre-recorded Multimedia Content
Quadrant 02 | e-Content
  • Self Learning Material
  • Coursera & edX Learning
  • MOOCs
  • Open Source Web Resources
Quadrant 03 | Discussion Forum
  • SME moderated live support
  • Discussion board on Current Events & Applications
Quadrant 04 | Self Study Activities
  • Online Quiz
  • MCQs
  • Assignments
  • Self Assessment Questions

Eligibility Criteria

Passed BCA/ Bachelor Degree in Computer Science Engineering or equivalent Degree. OR passed B.Sc./ B.Com./ B.A. with Mathematics at l0+2 Level or at Graduation Level (with additional bridge Courses as per the norms of the concerned University). Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination.

Duration – 2 years (4 semesters)|Delivery Mode – Online

Program Structure

Semester 1

  • Advanced Data Structures & Algorithms using Python
  • Statistics for Computer Science
  • Database Technology
  • Object Oriented Programming Using JAVA
  • Computer Networks
  • Practical – Software Design Project
  • Software Design Project

Semester 2

  • Web Design and Development
  • Data Warehousing and Data Mining
  • Machine Learning
  • Software Engineering
  • Elective-1(Electives)
  • Practical – Software Design Project
  • Practical: Web Programming Lab

Semester 3

  • Software Testing and Quality Assurance
  • DevOps
  • MOOC (Electives)
  • Elective -2 (Electives)
  • Elective -3 (Electives)
  • Practical: Presentation Skills and Academic writing
  • Project: Project Phase-I

Semester 4

  • Elective-4 (Electives)
  • Personality Development
  • Project: Project Work – Phase – II

Elective 1

  • Web analytics
  • Big Data Analytics

Elective 2

  • R Programming
  • Big Data Analytics

Elective 3

  • Semantic Web
  • Data Visualization Techniques and Tools

Elective 4

  • Data Classification Methods and Evaluation
  • Principles of Deep Learning

* Semester System is followed with the entire course covered in four semesters.
* Every semester has theory subjects and practical, project work in 3rd and 4th semester.

Electives offered:
Data Science, Computer Science and IT, Cyber Security and Cloud Computing, Artificial Intelligence and Data Analytics.

Specializations:

  • Explore the relationship between data sets and gain an understanding of data analysis and structures.
  • Become familiar with relevant technologies such as R, Python, Tableau, SQL, etc.
  • Learn text mining analysis and techniques to understand the influence of social media.
  • Implement descriptive, predictive and prescriptive analytics to make real-time data-driven decisions.
  • Gain skills and knowledge required to manage data science and analytics teams or projects at your organization.
  • Develop a strong foundation in the core topics of computer science and IT.
  • Obtain In-depth knowledge of computer languages, software design, databases and security networks.
  • Update skills to get hands-on experience with emerging new software technologies, approaches, and applications.
  • Gain a thorough understanding of programming languages, database management systems, web technologies, software engineering, etc.
  • Get expertise in planning, designing, and scaling cloud implementations.
  • Develop excellence in the cloud powerhouses- Microsoft Azure, Google Cloud, AWS.
  • Learn and apply security techniques in a fully functioning cloud environment.
  • Identify levels of risk and vulnerabilities that are present in cloud service.
  • Develop technical knowledge of relevant applications such as AWS, Python, R, MS Azure, SPSS, SAS, Excel, etc.
  • Gain non-technical skills like data-driven decision making, critical thinking, business acumen and entrepreneurship, communication, management teamwork, and leadership.
  • In-depth knowledge of statistical and research methodology.
  • Applying Artificial Intelligence (AI) and Application Programming Interfaces (API) to business applications.
  • Apply algorithmic application to make predictions which lay the foundation for machine learning.

Fee Structure:

For Indian National

 Semester Fee Plan ₹ 22,500
 Annual Fee Plan ₹ 45,000

Note

  1. One Time University Registration Fee of ₹1,000 + Bank charges is applicable during admission
  2. Examination Fee of ₹3,000 per Years is applicable

For Foreign Students

Not Applicable

Disclaimer: RiseBack is the authorized ‘Enrollment Partner’ for Hindustan Online Centre for Open and Digital Education (CODE), Institute of Technology & Science Deemed-to-be University. The courses would be offered directly by Hindustan Online. The fees would be directly paid to the university.

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