Reception Desk : 0181-2296605, 2296606
For Admission related queries : 7009969253,9814406986
Email Id : kmvoffice1886@gmail.com,
kmvjalandhar@yahoo.com

  • Only College under GNDU to be bestowed with FIST & CURIE grant by DST- Govt. of India
  • Star College by DBT- Govt. of India
  • Designated College with Potential for Excellence
  • Accredited ‘A’ by UGC-NAAC
  • Recognised as a Center of Excellence by RASCI, Government of India
  • Best College in Punjab as per the Surveys
  • Kaushal Kendra by UGC, MHRD, Govt. of India and first College under GNDU to have been granted Kaushal Kendra

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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