MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining)
- Private University
Case School of Engineering
Talk to ExpertMS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining) at CWRU Overview
MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining)
at CWRU
CWRU`s Case School of Engineering offers MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining) Degree program. The duration of this program is 12 months. The tuition fees to pursue this program is USD 47677.0. IELTS, TOEFL, and PTE scores are accepted for admission to CWRU MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining).
Duration | 12 months |
Course Level | PG Degree |
Mode of Course | Full Time |
International Students Admission Website | Go to Website  |
Tuition & Fees | ₹40.18 Lakh View full breakup |
Type of University | Private |
Official Career Service Website | Go to Website |
MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining) at CWRU Highlights
MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining)
at CWRU
- Civil Engineers are increasingly focusing on the sustainable construction of buildings, plants, factories, and towns/cities
- This master's requirements are split equally between both institutes and will require students to complete all INSOFE classes in India prior to travelling to Case Western Reserve University (USA)
- Students will also be eligible to receive 3 Years OPT upon successfully graduating from the dual specialization master's degree
MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining) at CWRU Rankings
MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining)
at CWRU
MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining) at CWRU Entry Requirements
MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining)
at CWRU
Requirements for 12th grade
- No specific cutoff mentioned
Graduation
- No specific cutoff mentioned
- Read less
- Applicants should hold a bachelor’s in Civil engineering, or related fields
- Students with a bachelor’s in Civil engineering, or related fields will be eligible to apply to the dual specialization master’s in Civil Engineering with a specialization in Artificial Intelligence and Machine Learning.
- Students who is not from the aforementioned backgrounds may need to complete additional prerequisite courses offered by the university to be eligible for the master’s track option.
- Applicants must complete 15 credits worth of classes in India. During which time, INSOFE will help them apply to the dual specialization master’s at Case Western Reserve University
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GPA
Percentage
CGPA
Out of 10
TOEFL
- Marks - 90/120
-
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Convert your CGPA to GPA
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GPA
Percentage
CGPA
Out of 10
PTE
- Marks - 61/90
- NA
IELTS
- Marks - 6.5/9
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
GRE
- No specific cutoff mentioned
- NA
Conditional Offer
- Yes
- Read lessApplicants who have missing documentation in their admissions file (such as an official academic transcript with their degree posted or official copies of test scores) may be admitted conditionally. The conditions specified in the letter of acceptance must be satisfied prior to matriculation in the School of Graduate Studies. Students will be unable to register for courses until all of their conditions have been satisfied.
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MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining) at CWRU Application Process
MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining)
at CWRU
Step one
Prepare documents for application
SOP
- Statement of purpose
LOR
- Two letters of recommendation (professional/academic mentors as references)
CV
- Resume required
Step two
Additional documents required
- Consolidated official marks memo/transcripts from all the past academic institutions
- Copy of the passport
- Proof of English Language Proficiency
- GMAT/GRE Scores
- Experience letters (if any)
- INSOFE Entrance Examination (INEX) Scores
Step three
Start your online application
Step four
Application fees for this course
USD 50 = INR 4.21 Thousand
Mode of payment: Credit card
MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining) at CWRU Fees
MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining)
at CWRU
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 40,17,741 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 2,78,597 |
| Transportation | INR 10,955 |
| Activity fee | INR 3,539 |
| Total approximate fees | INR 2,93,091 |
Calculated at the exchange rate of 1 USD = INR 84.27 | Tuition & expenses were last updated on 20ᵗʰ December 2024
MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining) at CWRU Scholarships
MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining)
at CWRU
Scholarship information is not available. You can apply to non-college specific scholarships available for
USA.
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MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining) at CWRU Contact Information
MS in Civil Engineering with a dual specialization in Artificial Intelligence and Machine Learning (Twining)
at CWRU
Address
International Student Services
143 Tomlinson Hall
Cleveland, Ohio 44106
Cleveland ( Ohio)
Phone
Go to College Website ->