

Diploma in Computer Science and Engineering
- Private Institute
- Estd. 2009
Diploma in Computer Science and Engineering at MLMGC Overview
At the After 10th level, the M.L.M Group of Colleges provides a 3 years Diploma in Computer Science and Engineering course to students. The total seat intake for this course is 90. Students can check other courses of M.L.M Group of Colleges After 10th Diploma.
Duration | 3 years |
Course Level | After 10th Diploma |
Mode of Course | Full Time |
Official Website | Go to Website |
Seat breakup | 90 |
Type of University | Private |
Diploma in Computer Science and Engineering at MLMGC Highlights
- The Course is affiliated to Punjab State Board of Technical Education
Diploma in Computer Science and Engineering at MLMGC Frequently Asked Questions
The BTech Civil Engineering syllabus focuses on both theoretical lectures as well as practical work.
With the help of lectures in the curriculum, theoretical concepts are introduced to students, tutorials provide space for solving problems and applications also.
And the labs offer hands-on experience to students who get acquainted with equipment and CAD software. Also, the field projects also allow students to apply their B Tech Civil Engg. skills and knowledge to design and implement communication systems.
Yes, CSE (full form Computer Science and Engineering) is a good career choice if you are aspiring for a good salary package as a fresher. A Computer Engineering graduate's average salary in India is approx. INR 6 lakh and higher. Also, owing to the exponential rise in AI & ML concept), CSE course gradutes have got a competitive job market and abundant opportunities for career growth.
Hi candidate!
While specific books may vary between IITs, some commonly used books in BTech Mechanical Engineering are as follows:
- “Textbook of Engineering Mechanics” by R.K Bansal
- “Industrial Engineering and Management” by O.P. Khanna
- “Fundamentals of Thermodynamics” by Richard E. Sonntag
- “Mechanical Engineering Design” by Joseph Shigley and Charles Mischke
- “Manufacturing Engineering and Technology” by S. Kalpakjian and S.R. Schmid
Hope it cleared your query. Good day!
The curriculum covers a wide range of topics, including:
- Circuit Analysis
- Electronic Devices & Circuits
- Signals & Systems
- Digital Electronics
- Communication Engineering
- Control Systems
- Electromagnetics & Antennas
- Computer Programming
- Engineering Mathematics
Note: The list of the curriculum again depends on the colleges.
Download exam sample paper
Diploma in Computer Science and Engineering at MLMGC Entry Requirements
Diploma in Computer Science and Engineering at MLMGC Admission Process
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Diploma in Computer Science and Engineering at MLMGC Students also asked
Both are popular job roles, as per the World Economic Forum report. The key differences between the two are as follows:
- The Data Analyst collects relevant data from various sources to filter and analyze it. The data scientist gathers sizable amounts of structured and unstructured data while performing data mining.
- Education: To become a data analyst, you can apply with a Bachelor's degree in math, Statistics or a related field. Data scientists typically pursue a master's Diploma or degree in data Science.
- Salary: The salary of a data scientist is usually higher than that of a data analyst. According to global estimates, a data scientist can earn around $100,000 per year, whereas a data analyst can earn around $70,000.
Yes, of course. Top colleges do offer placements to BTech ECE graduates in the final year of their academic journey, with top recruiting companies visiting the college campuses through placement drives and the annual placement fair to hire students with the right skill set, passion, and spark to excel in the field and assist them in driving growth and profitability for their business.
Hi, hope you're doing well.
This depends on your interest and learning potential. The subject that is tough for you might be the easiest one out there for your friend, who finds it interesting and intriguing. For example, you may find Data Structures and Algorithms very tough because of the various technicalities and computer and data theory that it deals with. But, for some other person, it might be fun to study, as it gives you a channel to learn, explore, and experiment with something different.
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