Computer Science
and
Engineering
Computer Science and Engineering

Digital Skills Training

Assessments and Certificates

The Dept. of CSE, MBSTU will conduct midterm and final assessments. Upon successful completion of the program, and based on the final evaluation (with at least and 60% score and 80% attendance), each participant will be jointly awarded a certificate by the Public Department/Institute/Center/Universities and EDGE. Number of trainees and expenditure will be counted based on the successful completion of training.

Overall Assessment Criteria

Overall assessment of trainee performance will be based on the following score distribution (indicative):

  • Class attendance: 10%
  • Quiz and Assignment(s): 20%
  • Mid-term assessment: 20%
  • Project: 25%
  • Final Evaluation: 25%

Eligibility Criteria for Trainees

  • Foundational Skills Program: Candidates below 35 years of age who completed their higher secondary education.
  • Intermediate level training: Candidates under 35 years of age who are either enrolled in or have completed their tertiary education in any discipline.
  • Advanced level training: Candidates below 35 years of age with foundational skills in IT and a background in science and engineering.

Basic Network Administration

Hardware and Software Maintenance

Digital Marketing

Graphics Design (Photoshop & AI Tools Usage)

Office Management (Microsoft Office)

Search Engine Optimization

Software Testing for Beginners

Web Development Essentials

Python for Beginners

Content Management System (WordPress)

Data Analysis using SPSS

Visual Programming (C#.NET / ASP.NET / C++.NET)

Mobile Application Development (Android/iOS)

Database Management System (MySQL / Oracle / SQL Server)

Flutter

Front-End Development (ReactJs / NodeJS / VueJS / Angular JS)

Desktop Application using Java

API Development using Spring

Web Development using Laravel

Programming with Python

Software Quality Assurance & Testing

User Interface and User Experience (UI / UX) Design

Professional Project Management

IoT for Beginners (Arduino)

Artificial Intelligence

Cyber Security

Data Science

IoT for Professionals

Machine Learning

Blockchain

Virtual and Augmented Reality

Cloud Computing

Modern Cryptography