DSTI School of Engineering

DSTI School of Engineering, part of the Data ScienceTech Institute (DSTI), is a leading institution in France specializing in applied education in Data Science, Artificial Intelligence (AI), and Cybersecurity. Established in 2015, DSTI focuses on bridging the skills gap in these rapidly evolving fields by offering hands-on, industry-aligned programs. The school offers a range of master’s programs including Applied MSc degrees in Data Science & AI, Data Engineering for AI, and Data Analytics. These programs combine comprehensive coursework with practical internships, covering key technologies such as Python, R, SQL, AWS, and big data platforms to prepare students for careers in data analytics, machine learning, and AI development. DSTI has campuses in Paris and Nice Sophia-Antipolis, as well as flexible online learning options, providing students with access to vibrant tech hubs and industry connections. Graduates benefit from high employability rates, with 98% securing internships within six months and 91% finding positions in Europe, along with an average starting salary of €51,000 per year. Located in the heart of Paris, the school offers students ample opportunities to engage with startups and established tech companies, enhancing their professional network and career prospects. For more details on programs, admissions, and scholarships, interested students can visit the official website at dsti.school


Scholarship


Undergraduate Scholarship Opportunities at DSTI School of Engineering

  1. Merit-Based Scholarships
    • Eligibility: High-achieving students with excellent academic records.
    • Support: Partial tuition fee reductions.
    • Application: Typically assessed during the admission process; no separate application may be required.
  2. International Student Scholarships
    • Eligibility: Non-EU international applicants demonstrating strong academic potential and motivation.
    • Support: Tuition discounts or partial scholarships.
    • Application: May require a motivational letter and possibly an interview.
  3. Financial Need-Based Bursaries
    • Eligibility: Students from families with modest income or experiencing economic hardship.
    • Support: Tuition relief based on a financial assessment.
    • Application: May require proof of income or tax documentation.
  4. Early Enrollment Discounts
    • Eligibility: Students who confirm their enrollment before a specific deadline.
    • Support: Flat tuition reductions.
    • Application: Automatically applied upon early confirmation of enrollment

 Graduate Scholarships at DSTI School of Engineering

  1. Academic Excellence Scholarship
    • Eligibility: Outstanding academic records and strong performance in previous studies.
    • Support: Partial tuition fee waiver.
    • Application: Usually assessed during admission; may require transcripts and recommendation letters.
  2. International Graduate Scholarship
    • Eligibility: Non-European Union international students demonstrating high motivation and academic potential.
    • Support: Tuition discounts or partial scholarships.
    • Application: Motivational letter and possibly an interview.
  3. Research & Innovation Grant
    • Eligibility: Students involved in cutting-edge research projects or innovation initiatives within DSTI.
    • Support: Financial aid covering part of tuition and research expenses.
    • Application: Proposal submission and supervisor endorsement.
  4. Professional Experience Scholarship
    • Eligibility: Applicants with relevant professional experience in data science, AI, cybersecurity, or IT.
    • Support: Partial tuition fee reduction.
    • Application: Submission of CV and professional references.
  5. Financial Need-Based Bursary
    • Eligibility: Students from low-income backgrounds requiring financial assistance.
    • Support: Tuition relief based on financial assessment.
    • Application: Proof of income and supporting financial documents.
  6. Early Enrollment Discount
    • Eligibility: Students who confirm their enrollment before the early registration deadline.
    • Support: Flat tuition reduction.
    • Application: Automatically applied on early confirmation.

Courses


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Eligibility criteria


Undergraduate Eligibility Criteria at DSTI School of Engineering

  1. Educational Qualifications
    • Applicants must have completed their secondary education or high school equivalent (such as the French Baccalauréat, International Baccalaureate, A-Levels, or equivalent).
    • Official transcripts and diplomas are required to prove completion and academic standing.
  2. Minimum Academic Performance
    • A strong academic record is expected, particularly in relevant subjects such as mathematics, science, or computer science.
    • Some programs may require a minimum GPA or specific grades in core subjects.
  3. Language Proficiency
    • Since programs are taught primarily in English, applicants whose first language is not English must demonstrate proficiency.
    • Accepted language tests include:
      • IELTS Academic: minimum overall score of 6.0 (with at least 5.5 in each section)
      • TOEFL iBT: minimum score of 80
      • Other recognized English proficiency tests may be accepted.
    • Alternatively, applicants may be interviewed in English to assess their proficiency.
  4. Application Documents
    • Completed application form.
    • Copy of valid passport or ID.
    • Academic transcripts and certificates.
    • Proof of English proficiency (if applicable).
    • Personal statement or motivation letter explaining interest in the program.
    • Curriculum Vitae (CV) highlighting academic background and relevant activities.
  5. Interview
    • Shortlisted candidates are usually invited for an interview (in person or online) to assess motivation, communication skills, and suitability for the program.
  6. Age Requirement
    • Generally, applicants should be at least 18 years old at the start of the program.

Graduate Eligibility Criteria at DSTI School of Engineering

  1. Academic Qualifications
    • Applicants must hold a Bachelor’s degree or an equivalent undergraduate qualification from a recognized university or institution.
    • Degrees in fields related to data science, computer science, engineering, mathematics, or similar disciplines are preferred but not always mandatory.
    • Official transcripts and diplomas must be submitted as proof.
  2. Minimum Academic Performance
    • A solid academic record during undergraduate studies is expected, often with a minimum GPA or equivalent academic standing.
    • Some programs may require specific coursework or foundational knowledge in statistics, programming, or mathematics.
  3. Language Proficiency
    • Since courses are primarily delivered in English, non-native speakers must demonstrate English language proficiency.
    • Accepted tests include:
      • IELTS Academic: minimum overall score of 6.0 (with at least 5.5 in each section)
      • TOEFL iBT: minimum score of 80
      • Other recognized English proficiency certifications may be accepted.
    • Alternatively, proficiency may be assessed during the admissions interview.
  4. Application Materials
    • Completed application form.
    • Copy of passport or valid ID.
    • Official academic transcripts and degree certificates.
    • Proof of English proficiency (if applicable).
    • Curriculum Vitae (CV) outlining academic and professional background.
    • Personal statement or motivation letter describing goals and interest in the program.
    • Letters of recommendation may be requested for certain programs.
  5. Professional Experience (Optional but Recommended)
    • Some programs value applicants with relevant work experience or internships in data science, AI, cybersecurity, or related fields.
    • This experience can strengthen the application but is not always mandatory.
  6. Interview
    • Shortlisted candidates are typically invited to participate in an interview (online or in-person) to evaluate motivation, communication skills, and fit for the program.
  7. Age Requirement
    • Applicants are generally expected to be at least 18 years old at the start of the program.

Accommodation


Visa


University Video


Undergraduate Scholarship Opportunities at DSTI School of Engineering

  1. Merit-Based Scholarships
    • Eligibility: High-achieving students with excellent academic records.
    • Support: Partial tuition fee reductions.
    • Application: Typically assessed during the admission process; no separate application may be required.
  2. International Student Scholarships
    • Eligibility: Non-EU international applicants demonstrating strong academic potential and motivation.
    • Support: Tuition discounts or partial scholarships.
    • Application: May require a motivational letter and possibly an interview.
  3. Financial Need-Based Bursaries
    • Eligibility: Students from families with modest income or experiencing economic hardship.
    • Support: Tuition relief based on a financial assessment.
    • Application: May require proof of income or tax documentation.
  4. Early Enrollment Discounts
    • Eligibility: Students who confirm their enrollment before a specific deadline.
    • Support: Flat tuition reductions.
    • Application: Automatically applied upon early confirmation of enrollment

 Graduate Scholarships at DSTI School of Engineering

  1. Academic Excellence Scholarship
    • Eligibility: Outstanding academic records and strong performance in previous studies.
    • Support: Partial tuition fee waiver.
    • Application: Usually assessed during admission; may require transcripts and recommendation letters.
  2. International Graduate Scholarship
    • Eligibility: Non-European Union international students demonstrating high motivation and academic potential.
    • Support: Tuition discounts or partial scholarships.
    • Application: Motivational letter and possibly an interview.
  3. Research & Innovation Grant
    • Eligibility: Students involved in cutting-edge research projects or innovation initiatives within DSTI.
    • Support: Financial aid covering part of tuition and research expenses.
    • Application: Proposal submission and supervisor endorsement.
  4. Professional Experience Scholarship
    • Eligibility: Applicants with relevant professional experience in data science, AI, cybersecurity, or IT.
    • Support: Partial tuition fee reduction.
    • Application: Submission of CV and professional references.
  5. Financial Need-Based Bursary
    • Eligibility: Students from low-income backgrounds requiring financial assistance.
    • Support: Tuition relief based on financial assessment.
    • Application: Proof of income and supporting financial documents.
  6. Early Enrollment Discount
    • Eligibility: Students who confirm their enrollment before the early registration deadline.
    • Support: Flat tuition reduction.
    • Application: Automatically applied on early confirmation.

No results found

Undergraduate Eligibility Criteria at DSTI School of Engineering

  1. Educational Qualifications
    • Applicants must have completed their secondary education or high school equivalent (such as the French Baccalauréat, International Baccalaureate, A-Levels, or equivalent).
    • Official transcripts and diplomas are required to prove completion and academic standing.
  2. Minimum Academic Performance
    • A strong academic record is expected, particularly in relevant subjects such as mathematics, science, or computer science.
    • Some programs may require a minimum GPA or specific grades in core subjects.
  3. Language Proficiency
    • Since programs are taught primarily in English, applicants whose first language is not English must demonstrate proficiency.
    • Accepted language tests include:
      • IELTS Academic: minimum overall score of 6.0 (with at least 5.5 in each section)
      • TOEFL iBT: minimum score of 80
      • Other recognized English proficiency tests may be accepted.
    • Alternatively, applicants may be interviewed in English to assess their proficiency.
  4. Application Documents
    • Completed application form.
    • Copy of valid passport or ID.
    • Academic transcripts and certificates.
    • Proof of English proficiency (if applicable).
    • Personal statement or motivation letter explaining interest in the program.
    • Curriculum Vitae (CV) highlighting academic background and relevant activities.
  5. Interview
    • Shortlisted candidates are usually invited for an interview (in person or online) to assess motivation, communication skills, and suitability for the program.
  6. Age Requirement
    • Generally, applicants should be at least 18 years old at the start of the program.

Graduate Eligibility Criteria at DSTI School of Engineering

  1. Academic Qualifications
    • Applicants must hold a Bachelor’s degree or an equivalent undergraduate qualification from a recognized university or institution.
    • Degrees in fields related to data science, computer science, engineering, mathematics, or similar disciplines are preferred but not always mandatory.
    • Official transcripts and diplomas must be submitted as proof.
  2. Minimum Academic Performance
    • A solid academic record during undergraduate studies is expected, often with a minimum GPA or equivalent academic standing.
    • Some programs may require specific coursework or foundational knowledge in statistics, programming, or mathematics.
  3. Language Proficiency
    • Since courses are primarily delivered in English, non-native speakers must demonstrate English language proficiency.
    • Accepted tests include:
      • IELTS Academic: minimum overall score of 6.0 (with at least 5.5 in each section)
      • TOEFL iBT: minimum score of 80
      • Other recognized English proficiency certifications may be accepted.
    • Alternatively, proficiency may be assessed during the admissions interview.
  4. Application Materials
    • Completed application form.
    • Copy of passport or valid ID.
    • Official academic transcripts and degree certificates.
    • Proof of English proficiency (if applicable).
    • Curriculum Vitae (CV) outlining academic and professional background.
    • Personal statement or motivation letter describing goals and interest in the program.
    • Letters of recommendation may be requested for certain programs.
  5. Professional Experience (Optional but Recommended)
    • Some programs value applicants with relevant work experience or internships in data science, AI, cybersecurity, or related fields.
    • This experience can strengthen the application but is not always mandatory.
  6. Interview
    • Shortlisted candidates are typically invited to participate in an interview (online or in-person) to evaluate motivation, communication skills, and fit for the program.
  7. Age Requirement
    • Applicants are generally expected to be at least 18 years old at the start of the program.

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