Email Id : kmvoffice1886@gmail.com,
kmvjalandhar@yahoo.com
Reception Desk : 0181-2296605, 2296606
For Admission related queries : 9814406986
For Examination & Migration Related queries: 8283947208
For Fee Related queries: 7009711914
For Student Related issues: 9646776108
For online admission (Technical queries): 9464784459

  • Only College under GNDU to be bestowed with CURIE grant by DST- Govt. of India
  • Star College by DBT- Govt. of India
  • FIST supported by DST- Govt. of India
  • Designated College with Potential for Excellence
  • Accredited ‘A’ by UGC-NAAC
  • Kaushal Kendra by UGC, MHRD, Govt. of India and first College under GNDU to have been granted Kaushal Kendra
  • Best College in Punjab as per the Surveys
  • Times Achiever Award Winner for Excellence in Progressive Education

Artificial Intelligence & Data ScienceBack

Kanya Maha Vidyalaya has been a proud recipient to an array of awards for excellence in skill based education and outstanding performance by the students in various professions.  Bachelors of Vocation in Artificial Intelligence and Data Science at KMV aims to mould women students into competent and responsible professionals with pleasing personalities who would with requisite experience become future leaders and successful entrepreneurs.

With deep industry connections, Department of Artificial Intelligence and Data Science at KMV brings learners face-to-face with successful entrepreneurs, industry experts so they are ready to face challenges this era has to offer.

Programmes Offered

  • Bachelor of Vocation (B.VOC) Artificial Intelligence & Data Science

Teaching Faculty

Dr. Pardeep Arora Dr. Pardeep AroraAssociate Professor, Head Dept. of Artificial Intelligence and Data Science
Ms.Simarpreet Kaur Ms.Simarpreet KaurLecturer
Ms. Dimple Ms. DimpleLecturer

Strengths

  • Industry experienced and highly qualified faculty
  • 10+ 2 in any stream
  • Flexibility to exit after 6 months, 1 year, 2 years or 3 years
  • Labs equipped with industry updated equipment
  • On job training and internships
  • Taught by experts from the industry
  • Age/Study Gap- No bar
  • Language courses
  • General Education Components
  • Skill Components
  • Projects
  • Internship and Industrial Training
  • Familiarisation Trips
  • Soft Skills and Personality Development Programme
  • Study tours
  • Workshops / seminars / lab by experts from various fields
  • Emphasis on practical aspect of learning

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