Mazmunga oʻtish
  • Magistr
  • 12–16 oy

Master of Science - Data Analytics (I20071)

De Montfort University Leicester · Leicester, Buyuk Britaniya

Oʻqish narxi

18 100 £

1-yanvar, 2027 gacha topshiring · 73 kun qoldi · maktab tasdiqlamagan · boshlanishi 1-yanvar, 2027

Bu kurs haqida soʻrash
Davomiyligi
12–16 oy
Boshlanishi
1-yanvar, 2027maktab tasdiqlamagan
Oʻqishdan keyin ishlash
Mumkin — oʻquv yurti maʼlumotiga koʻra
Oʻqitish tili
inglizcha
Yashash xarajatlari (yiliga)
12 000 £

Umumiy maʼlumot

Bu tavsif faqat ingliz tilida mavjud.

Professionals with the ability to interrogate datasets by applying analytical techniques to describe and predict business performance are in high demand worldwide. Designed to equip students with the technical expertise needed for a career in industry, this course will prepare students for roles in analytics by developing their technical expertise and professional skills in business intelligence.

The first semester modules focus on core topic areas such as statistics, database design and programming, enabling students to gain insights into large multivariate datasets and apply your problem-solving abilities to explore business opportunities and challenges faced by data scientists when using business intelligence systems.

In the second semester, students will apply their technical knowledge and further progress their analytical expertise by focusing on specific data science subject areas such as big data, data mining and business intelligence. Students will also be encouraged to demonstrate their technical and analytical abilities in response to real-world problems during their final-semester individual project.

De Montfort University's graduates leave with sought-after skills for business intelligence and data mining roles within any field of data science. Opportunities also exist for further academic study towards a doctorate degree and a career in research.

Key features:

• With De Montfort University's 50-year history of teaching computing, students will benefit from established academic expertise, as well as gaining insight into real-world problem solving from the SAS-accredited staff. • Students will enhance their employability by developing substantial knowledge and skills in the deployment of SAS industry-standard software. • Students will sharpen skills by using software and techniques such as Apache Spark and the Hadoop Distributed File System to demonstrate data mining and machine learning algorithms. • Access dedicated computing laboratories, fully equipped with HP dual-boot and all-in-one computers and a high-performance file server. • Students will gain an insight into real-world issues and solutions through De Montfort University's research groups. Students will have the opportunity to attend guest lectures and seminars to expand their understanding of the impact of current research. • Students will boost their career prospects through an optional one-year placement year in industry, where they will be able to build contacts and transferable skills. Past students have completed placements with management consultancies, retailers and companies including Bosch Thermotechnology.

Kirish talablari

Bu kurs talablarini biz hali yigʻmadik. Soʻrang — universitetdan aniqlab beramiz.

Toʻlovlar va yashash xarajatlari

Oʻqish narxi
18 100 £
Yashash xarajatlari (yiliga)
12 000 £

De Montfort University Leicester eʼlon qilgan holda, ApplyBoard orqali berilgan va Go Study tekshirmagan — bizga yozing, maslahatchi har qaysi maʼlumotni maktab bilan tasdiqlaydi.

Qabul sanalari

  • 1-yanvar, 2027

    Boshlanishi 1-yanvar, 2027 · hujjatlar 1-yanvar, 2027 gacha

    maktab tasdiqlamagan

  • 1-sentabr, 2027

    Boshlanishi 1-sentabr, 2027 · hujjatlar 1-sentabr, 2027 gacha

    maktab tasdiqlamagan

  • 1-yanvar, 2028

    Boshlanishi 1-yanvar, 2028 · hujjatlar 1-yanvar, 2028 gacha

    maktab tasdiqlamagan

  • 1-sentabr, 2028

    Boshlanishi 1-sentabr, 2028 · maktab hujjat topshirish muddatini eʼlon qilmagan

    maktab tasdiqlamagan

Go Study maslahatchisi bilan bogʻlaning

Ismingizni va siz bilan qanday bogʻlanishimiz mumkinligini qoldiring — maslahatchi siz oʻqiyotgan tilda javob beradi.

Telefon raqami, Telegramdagi foydalanuvchi nomi yoki e-pochta — qaysi biri qulay boʻlsa.

Bu maʼlumotlardan faqat sizga javob berish uchun foydalanamiz.