Diploma in Data Science and Machine Learning

Categories : Diploma

The Course builds a solid foundation in Data Science & Analytics by covering industry standard tools and techniques through a practical, industry-oriented curriculum. You’ll learn competencies in the core focus areas of Data Science, Machine Learning, Date preprocessing Technique, and Data Visualization. This program assumes no prior knowledge of coding in Python and begins with basic principles.

By the end of the course you will have a solid understanding of techniques critical in performing Data Analytics and will be able to create analytical models using real-life data that delivers invaluable insights for your business and career.

  • Semester 1

    Subject Code Subject title T L I C
    V24DSM01T Introduction to data Science 4 0 0 4
    V24DSM02J Python Programming 3 4 0 5
    V24DSM03J Exploratory Data Analysis 3 6 0 6
    V24DSM04L Internship 0 0 0 4
    Total 10 10 0 19

  • Semester 2

    Subject Code Subject title T L I C
    V24DSM05J Data Visualization 3 6 0 6
    V24DSM06J Machine Learning 2 4 0 4
    V24DSM07T Data Pre-Processing Techniques 3 0 0 3
    V24DSM08L Project Work 0 0 0 8
    Total 8 10 0 21
    Grand Total 40
  • Anyone with an interest in learning about the fundamentals of data science programming and applying Diploma in Data Science and M.L
  • Professionals looking for a deeper understanding and hands-on experience with professional educators who are also industry experts
The Highlights Technology Covered
Online Lectures Data Science
Update Content Python
Hands-On Practice Exploratory Data Analysis (EDA)
100% Online Machine Learning
MCQ Assessments Data Pre-processing
24*7 Access
Quality Rich Content
Practice Assignments
Certificate on Completion
High Demand across Industries

SRM Online Learning Portal: Remote Proctored Examination System (RPES) - Learner's Checklist

  • 1. Examination Mode: Remote Online Proctored Examination only (Theory/Practical/Project). No physical appearance is required.
  • 2. Online Examination Platform: SRM Online Remote Proctored Examination System.
  • 3. Mock test: It will be conducted before every end semester examination for software practice.
  • 4. End semester exam Pattern: Objective Type (MCQs) and Descriptive questions (Essay/Case study).
  • 5. For descriptive questions: Students need to upload the scanned answer sheet in picture format (JPG) before the exam time gets over into the RPES.
  • 6. Examination Hardware/Software Requirements: Laptop or Desktop with webcam, Windows Operating System, Good internet bandwidth, Mobile or Scanner for scanning answer sheet(s), A4 sheets as per your requirement, pen (blue or black), pencil if required. 
  • 7. E-Answer sheet: Scanned answer sheet (handwritten in A4 sheets) should be uploaded before the exam time ends into the RPES.
  • 8. Authentication: SRMIST ID card and hall ticket / Admit card is mandatory to appear for the exam.
  • 9. Back Paper(s): Learners can appear for Arrears / Back papers along with every next semester till the time of maximum number of attempts permitted as per regulation.

For Students with Indian Education

Programme Proposed
Diploma
10+ 2 year (Any group) from any recognized board including NIOS, a pass with 50% in the qualifying exams.
Or
Any Degree
Selection Process: The selection process is based on multiple criteria such as marks obtained in the qualifying examination and/or online entrance examination and interview or based on recognized national entrance test as per the guidelines of Admission committee of DODE, SRMIST and UGC. The candidates who are currently working in the organization or having qualified score from nationally recognized entrance test are given priority.

For Students with Foreign Education:

Programme Proposed
Diploma
10+ 2 year (Any group) from any recognized board including NIOS, a pass with 50% in the qualifying exams.
Or
Any Degree

Admission Process

Step 1 : Application submission + Upload of

  • Grade sheet upload of 10, 12
  • Passport size photograph
  • Passport (for foreign students)

Step 2 : Selection process

  • Minimum eligibility confirmation in the qualifying examination
  • Online entrance [and / or] Online interview

Step 3: Selection intimation and fee payment

Step 4: Formal enrollment of the program

Programme Tuition fee per year in INR
Diploma 36,000

NOTE: In addition to the tuition fees, the Exam fees for the semester and fees for certificates will be charged separately

Duration : 1 Year

Credit : 40

Course Language : English

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