B.S. (Data Science)
B.S. (Data Science) in University of Toledo - 2 Year in India + 2 Year in USA
About University of Toledo
The University of Toledo (UT) is a public metropolitan research university renowned for its beautiful, scenic campuses. Located in Toledo, Ohio, it is a student-centered institution accredited by the Higher Learning Commission.
Established in 1872, the university became a member of the state university system in 1967. In the summer of 2006, it merged with the Medical University of Ohio to create the state's third-largest public university operating budget. .
Today, UT is one of 14 state universities in Ohio, and its primary mission is to 'improve the human condition'.
It offers more than 300 undergraduate, graduate, and professional programs, across law, engineering, business, and occupational therapy among its nationally ranked programs.
Established in 1872, the university became a member of the state university system in 1967. In the summer of 2006, it merged with the Medical University of Ohio to create the state's third-largest public university operating budget. .
Today, UT is one of 14 state universities in Ohio, and its primary mission is to 'improve the human condition'.
It offers more than 300 undergraduate, graduate, and professional programs, across law, engineering, business, and occupational therapy among its nationally ranked programs.
Campus
The main university campus has nine residential halls, a Student Recreation Centre, a gothic bell tower, an avant-garde classroom center in one of the buildings, the Memorial Field House, a football stadium, and a basketball and athletic complex.
Sporting the colours midnight blue and gold, university sports teams are known as The Rockets, a shortened version of ‘Skyrockets’, a name dating back to the 1920s.
Toledo is an industrial and entrepreneurial city known for its car assembly plants and glass manufacturing (hence its nickname ‘The Glass City’).
The campuses at UT offer 200 student organisations and art exhibitions, athletic games, theatre performances, and talks by public figures such as the radio host Robert F Kennedy Jr. and the author Toni Morrison.
A demonstrated desire to achieve excellence through innovation.
Sporting the colours midnight blue and gold, university sports teams are known as The Rockets, a shortened version of ‘Skyrockets’, a name dating back to the 1920s.
Toledo is an industrial and entrepreneurial city known for its car assembly plants and glass manufacturing (hence its nickname ‘The Glass City’).
The campuses at UT offer 200 student organisations and art exhibitions, athletic games, theatre performances, and talks by public figures such as the radio host Robert F Kennedy Jr. and the author Toni Morrison.
A demonstrated desire to achieve excellence through innovation.
City Conditions
In Toledo, the summers are warm; the winters are freezing, snowy, and windy; and it is partly cloudy year-round. Over the year, the temperature typically varies from 19°F to 83°F and is rarely below 3°F or above 91°F. Based on the tourism score, the best time of year to visit Toledo for warm-weather activities is from mid-June to mid-September.
Housing
Apartment Guide has created a specialty apartment search for The University of Toledo to help students, faculty, and employees find the best off-campus living options. With a large inventory of multifamily apartments, students won’t have to waste their valuable time looking all over.
All first-year and second-year students who live outside of a twenty-five-mile radius from the university must live on campus and participate in the meal plan program. Living on campus allows students to focus on what matters most. Statistics show students who live on campus have higher grade point averages, are more involved, and have higher retention rates.
Conveniently located close to dining and classes, on-campus housing is a hassle-free, safe home to live with friends and enjoy the University of Toledo in students' backyard. As a student required to live on campus next academic year, we recommend students apply now so current residents can get the best choice of rooms on campus.
All first-year and second-year students who live outside of a twenty-five-mile radius from the university must live on campus and participate in the meal plan program. Living on campus allows students to focus on what matters most. Statistics show students who live on campus have higher grade point averages, are more involved, and have higher retention rates.
Conveniently located close to dining and classes, on-campus housing is a hassle-free, safe home to live with friends and enjoy the University of Toledo in students' backyard. As a student required to live on campus next academic year, we recommend students apply now so current residents can get the best choice of rooms on campus.
Indian student association
The Indian Students Cultural Organisation (ISCO) is a non-profit organisation for all students from India, of Indian descent, or interested in Indian culture. It has been given the Best Student Organisation Award consecutively from 2001 to 2004 and the 3rd Best Student Organisation Award for 2014-2015. Our primary objectives are to promote service and leadership opportunities and create an environment where students of different backgrounds can bond over our beloved culture. For our many international students, we know how tough it is to travel to a new country, thousands of miles away from home, and to settle down in American culture, as well as feeling homesick from all your friends and family back home. Our Indian-American students understand how important it is to find people like you who understand the balance of being both American and Indian and making sure you still stay connected to your heritage. We endeavour to complement student academic programs and enhance the overall educational experience of students through their participation in social, cultural, intellectual, and recreational activities. Our organisation tries to spread the word of “togetherness” by bringing one community to share Indian culture, regardless of gender, race, orientation, etc.
Why Choose University of Toledo ?
University of Toledo was founded in 1872 and is accredited by Higher Learning Commission of North Central Association of Colleges and Schools.University of Toledo offers more than 300 undergraduate program and is one of the 14 state universities in Ohio state. University of Toledo and Medical University of Ohio merged in 2007 and are now the 3rd largest Public University in the state.
Accredition
Top Ranking
Generous Scholarships
With six campuses and centres in the Fraser Valley and a growing campus in Chandigarh, India
Generous Scholarships
Vidyalankar Students have been given Sisters Award Scholarship which reduces the expense substantially
Great Career Outcomes
Almost All our students have been placed in renowned MNCs.
Excellent Support
International Office is very efficient to handhold all International Students
- The B.S. (Data Science) course is a 4-year bachelor’s program.
- During the first two years, students will be a part of the Mumbai University B.Sc(Data Science) Program.
- Students will be taught all (Sem 1 to Sem 4) courses of The University of Toledo.
- Students who have completed the first two years of the Mumbai University B.Sc. (Data Science) program at VSIT can opt to transfer to one of the universities of Toledo. Such students are accepted by the University of Toledo directly into the 3rd year of Bachelor of Science in IST.
- These students will then have an option to major in Astrophysics/Astronomy, Environmental Science, or Health Sciences/Public Health.
- On successful completion of the program, the students are awarded the Bachelor of Science degree in Data Science by the University of Toledo. .
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Level : Bachelors
Duration : 2 Year at Vidyalankar & 2 Year at University of Toledo (USA)
Major : Bachelor of Science in Data Science
Specialization : Data Science
Plan of Study Grid
FIRST TERM
| USDS101 | Descriptive Statistics | 2 |
| USDS102 | Introduction to Programming | 2 |
| USDS103 | Web Technology | 2 |
| USDS104 | Business Communication and Information Ethics | 2 |
| USDS105 | Precalculus | 2 |
| USDS1P1 | Descriptive Statistics Practical | 2 |
| USDS1P2 | Introduction to Programming Practical | 2 |
| USDS1P3 | Web Technology Practical | 2 |
| USDS1P4 | ICT Practical | 2 |
| USDS1P5 | Precalculus Tutorials | 2 |
| VSIT14 | Business Communication I | 3 |
| USIT101, USIT1P2 | Imperative Programming | 3 |
SECOND TERM
| USDS201 | Probability and Distribution | 2 |
| USDS202 | Database Management | 2 |
| USDS203 | R Programming | 2 |
| USDS204 | Environmental Science | 2 |
| USDS205 | Calculus | 2 |
| USDS2P1 | Probability and Distributions Practical | 2 |
| USDS2P2 | Database Management Practical | 2 |
| USDS2P3 | R Programming Practical | 2 |
| USDS2P4 | Project Presentation on Data Science in Environmental Science | 2 |
| USIT2P5 | Calculus Tutorials | 2 |
| USIT105, USIT1P5 | Communication Skill | 3 |
| VSIT45 or VSIT16 | Research Methods in Business | 3 |
| USDS301 | Research Methods and Ethics | 2 | |||
| USDS302 | Data Structures and Algorithms using Python | 2 | |||
| USDS303 | Economics | 2 | |||
| USDS304 | Data Warehousing and Mining | 2 | |||
| USDS305 | Linear Algebra and Discrete Mathematics | 2 | |||
| USDS3P1 | Reasearch Methods and Ethics Practical | 2 | |||
| USDS3P2 | Data Structures and Algorithms using Python Practical | 2 | |||
| USDS3P3 | Economics Practical | 2 | |||
| USDS3P4 | Data Warehousing and Mining Practical | 2 | |||
| USDS3P5 | Linear Algebra and Discrete Mathematics Practical | 2 | |||
| USIT301, USIT3P1 | Python Programming | 4 | |||
| VSUT1050 | World History to 1500 | 3 | |||
| BIOL100 | Intro to Biology | 3 | |||
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|---|---|---|---|---|---|
| USDS401 | Applied Mathematics II | 2 | |||
| USDS402 | Big Data | 2 | |||
| USDS403 | Fundamentals of Accounting | 2 | |||
| USDS404 | Artificial Intelligence | 2 | |||
| USDS405 | Numerical Methods | 2 | |||
| USDS4P1 | Testing of Hypothesis Practical | 2 | |||
| USDS4P2 | Big Data Practical | 2 | |||
| USDS4P3 | Fundamentals of Accounting Practical | 2 | |||
| USDS4P4 | Artificial Intelligence Practical | 2 | |||
| USDS4P5 | Numerical Methods Practical | 2 | |||
| FEC 201 | Applied Mathematics II | 3 | |||
| PSY002 | Psychology | 3 | |||
| Third Year | ||
|---|---|---|
| FIFTH TERM | ||
| MATH 4680 | Introduction To Theory Of Probability | 3 |
| PHYS 3310 | Modern Physics I | 3 |
| CSET 3300 | Database-Driven Web Sites | 4 |
| Non‐US Diversity (WAC) | 3 | |
| Social Science Core | 3 | |
| Hours | 16 | |
| SIXTH TERM | ||
| MATH 4690 | Introduction To Mathematical Statistics | 3 |
| PHIL 3160 | Data Science Ethics | 3 |
| ASTR 3880 | Foundations of Astronomy | 4 |
| Elective (WAC) | 3 | |
| Arts/Humanities Core | 3 | |
| Hours | 16 | |
| SEVENTH TERM | ||
| GEPL 4110 | Geographic Information Systems | 3 |
| ECON 4810 | Econometrics Models And Methods I | 3 |
| Natural Sciences Core | 3 | |
| ART 2800 | Visual Literacy-Data Visualization | 3 |
| EECS 4750 | Machine Learning | 3 |
| Hours | 15 | |
| EIGHTH TERM | ||
| HHS 4500 | Data Science II | 3 |
| Social Sciences Core | 3 | |
| US Diversity | 3 | |
| Electives | 5 | |
| Hours | 14 | |
| Total Hours | 120 | |
| Third Year | ||
|---|---|---|
| FIFTH TERM | ||
| MATH 4680 | Introduction To Theory Of Probability | 3 |
| EEES 2030 | Introduction to the Environment Land-Use and Water | 3 |
| Social Sciences Core | 3 | |
| Non‐US Diversity (WAC) | 3 | |
| Arts/Humanities Core | 3 | |
| Hours | 15 | |
| SIXTH TERM | ||
| ART 2800 | Visual Literacy-Data Visualization | 3 |
| MATH 4690 | Introduction To Mathematical Statistics | 3 |
| PHIL 3160 | Data Science Ethics | 3 |
| Elective (WAC) | 3 | |
| Diversity of US | 3 | |
| Hours | 15 | |
| SEVENTH TERM | ||
| GEPL 4110 | Geographic Information Systems | 3 |
| ECON 4810 | Econometrics Models And Methods I | 3 |
| EEES 4160 | Environmental Data Management | 3 |
| EEES 4490 | Remote Sensing of The Environment | 4 |
| EECS 4750 | Machine Learning | 3 |
| Hours | 16 | |
| EIGHTH TERM | ||
| HHS 4500 | Data Science II | 3 |
| Social Sciences Core | 3 | |
| Elective | 3 | |
| Natural Science Core | 4 | |
| Hours | 13 | |
| Total Hours | 120 | |
| Third Year | ||
|---|---|---|
| FIFTH TERM | ||
| MATH 4680 | Introduction To Theory Of Probability | 3 |
| CSET 3300 | Database-Driven Web Sites | 4 |
| Elective in Concentration/ Minor requirement | 3 | |
| Non-Us Diversity (WAC) | 3 | |
| Social Sciences Core | 3 | |
| Hours | 16 | |
| SIXTH TERM | ||
| MATH 4690 | Introduction To Mathematical Statistics | 3 |
| PHIL 3160 | Data Science Ethics | 3 |
| Elective in Concentration/ Minor requirement | 3 | |
| Elective (WAC) | 3 | |
| Arts/Humanities Core | 3 | |
| Hours | 15 | |
| Fourth Year | ||
| SEVENTH TERM | ||
| GEPL 4110 | Geographic Information Systems | 3 |
| ECON 4810 | Econometrics Models And Methods I | 3 |
| EECS 4750 | Machine Learning | 3 |
| Natuiral Sceince Core | 3 | |
| Elective in Concentration/ Minor requirement | 3 | |
| Hours | 15 | |
| EIGHTH TERM | ||
| HHS 4500 | Data Science II | 3 |
| Elective in Concentration/ Minor requirement | 3 | |
| Social Science Core | 3 | |
| US Diversity | 3 | |
| Elective | 3 | |
| Hours | 15 | |
| Total Hours | 120-121 | |
| Third Year | ||
|---|---|---|
| FIFTH TERM | ||
| MATH 4680 | Introduction To Theory Of Probability | 3 |
| ART 2800 | Visual Literacy-Data Visualization | 3 |
| HEAL 3000 | Global Health | 3 |
| HEAL 2750 | Introduction to Epidemiology | 3 |
| Non‐US Diversity (WAC) | 3 | |
| Hours | 15 | |
| SIXTH TERM | ||
| MATH 4690 | Introduction To Mathematical Statistics | 3 |
| PHIL 3160 | Data Science Ethics | 3 |
| Diversity of US | 3 | |
| HEAL 3500 | Environmental Health | 3 |
| Elective | 3 | |
| Hours | 15 | |
| SEVENTH TERM | ||
| GEPL 4110 | Geographic Information Systems | 3 |
| HEAL 3600 | Prevention And Control Of Disease | 3 |
| ECON 4810 | Econometrics Models And Methods I | 3 |
| EECS 4750 | Machine Learning | 3 |
| Natural Sciences Core | 3-4 | |
| Hours | 15-16 | |
| EIGHTH TERM | ||
| HHS 4500 | Data Science II | 3 |
| HEAL 4800 | Public Health Research And Statistics | 3 |
| Social Sciences Core | 3 | |
| Arts/Humanities Core | 3 | |
| Diversity of US | 3 | |
| Hours | 15 | |
| Total Hours | 120-122 | |
Tuition & Living Expense
| Year | Fees | Type |
| 1st Year | ₹1500 | Application fees |
| ₹3,75,000 | Tuition fees | |
| ₹0 | Living expense | |
| 2st Year | ₹3,75,000 | Tuition fees |
| ₹0 | Living expense | |
| 3rd Year | USD $23,000 | Estimated Tuition fee |
| USD $7,000 | Estimated Living expense | |
| 4th Year | USD $23,000 | Estimated Tuition fee |
| USD $7,000 | Estimated Living expense |
Addition expenses
| Particulars | Tentative Expense |
| IELTS Registration | ₹ 14,700 |
| VISA fees | USD $160 |
| Airfare | USD $850 |
Scholarship
Vidyalankar students are granted scholarship of approx $9,000 per year
Course Co-Ordinator
Pursuing PhD
M.Sc.(IT), University of Mumbai 2010
Teaching Experience: 08 Year
Technical Papers Published: 06
Books Authored: 02
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