久久国产成人av_抖音国产毛片_a片网站免费观看_A片无码播放手机在线观看,色五月在线观看,亚洲精品m在线观看,女人自慰的免费网址,悠悠在线观看精品视频,一级日本片免费的,亚洲精品久,国产精品成人久久久久久久

分享

商業(yè)分析理學碩士專業(yè)開放申請 MSc Business Analytics NOW open for applications

 昵稱4742356 2019-06-08

Please scroll down for English version

專業(yè)介紹

為什么選擇商業(yè)分析碩士,?

  • 你是否想成為一名既了解技術又了解業(yè)務的專業(yè)分析師,?

  • 你是否想掌握數(shù)據(jù)驅動業(yè)務決策的技巧?

  • 你是否想學習數(shù)據(jù)可視化工具,,統(tǒng)計分析工具和大數(shù)據(jù)技術的實際應用?

什么是商業(yè)分析,?

  • 商業(yè)分析是現(xiàn)實世界中管理科學與機器學習的交集,。

  • 商業(yè)分析為提高財務績效,戰(zhàn)略管理和運營效率提供了新的潛力,。

  • 商業(yè)分析是幫助企業(yè)準備解決新時期下的業(yè)務挑戰(zhàn)并支持數(shù)據(jù)驅動型決策的關鍵因素,。

專業(yè)課程概述

我們的商業(yè)分析碩士課程是一個為期一年的全日制課程,由6門核心課程和2門選修課程(從7門選修課中選)組成,。

核心課程通過講課,,小班討論課和上機實習課進行。最后,,學生還將與我們的全球合作伙伴一起開展一項商業(yè)分析項目作為他們的畢業(yè)論文,。

本項目的畢業(yè)生將在真實的商業(yè)環(huán)境中獲得包括商業(yè)運營、數(shù)據(jù)庫,、統(tǒng)計,、信息學、數(shù)據(jù)分析,、機器學習和大數(shù)據(jù)技術等領域的必要技能和知識,。

核心課程:

  • 大規(guī)模數(shù)據(jù)的管理、處理和可視化

  • 商業(yè)分析基礎

  • 專業(yè)數(shù)據(jù)分析與應用

  • 機器學習與預測分析

  • 數(shù)據(jù)驅動的商業(yè)分析畢業(yè)論文

  • 領導大數(shù)據(jù)商業(yè)項目

教學

  • 我們的學習環(huán)境和以學生為中心的學習活動具有高度的互動性和創(chuàng)新性,。

  • 除了考試,,我們的學生還會有小論文,、實踐練習、團體和個人項目,,以及陳述演講等評估方式,。

  • 最后的畢業(yè)論文著重于培養(yǎng)學生運用分析技巧,溝通和解決數(shù)據(jù)分析問題的能力,。

就業(yè)方向

在金融部門,,客戶服務、企業(yè)優(yōu)化管理和市場營銷方面,,商業(yè)分析的應用范圍正在不斷增長,。

當我們的學生畢業(yè)時,他們將能夠:

  • 在需要了解大數(shù)據(jù)和高級分析技術的公司中找到工作,。

  • 研究企業(yè)的組織,,管理和國際外部環(huán)境。

  • 具備在數(shù)據(jù)挖掘,、數(shù)據(jù)可視化,、數(shù)據(jù)管理、流程建模,、預測性和高級分析等多方面的業(yè)務洞察力和專業(yè)技能,。

  • 具備優(yōu)化業(yè)務流程和管理實踐的能力。

  • 為整個企業(yè)和社會大環(huán)境做出貢獻,。

畢業(yè)生的潛在職業(yè)是什么,?

? 商業(yè)智能分析

? 市場營銷分析師

? 商務系統(tǒng)分析員

? 數(shù)據(jù)科學家

? 商業(yè)顧問

? 解決方案架構師

入學條件

  • 本專業(yè)適用于:本科專業(yè)不含大量商業(yè)分析相關課程的申請者,但須至少修過一門以高等數(shù)學或統(tǒng)計學為主的課程,。

  • 入學要求:2:1榮譽學位或同等學歷

  • 英語要求:雅思均分6.5,,寫作不低于6.0

獎學金

? 校友獎學金

? 親屬獎學金

? 國內授課型研究生項目優(yōu)秀申請人獎學金

申請流程

1. 下載研究生申請表

http://www./cn/study/postgraduate/masters/how-to-apply/index.aspx

2. 提交申請材料:

  • 研究生申請表(包括英文自薦信)

  • 大學期間完整的學術成績單中英文原件(需要學校教務處蓋章)

  • 學位、學歷證書復印件(在海外高校取得學位者還需提供中國教育部出具的國外學位學歷認證書)

  • 兩份由老師簽名并封口的英文推薦信(必須有一封來自于您正在就讀/最近畢業(yè)的學術機構教員)

  • 英語語言能力測試成績單(如雅思,、PTE)

  • 四張護照尺寸照片

  • 身份證正反面復印件

  • 部分專業(yè)要求遞交其它材料,,具體詳見學校網(wǎng)站

處理時間:通常為3-5周

2018年秋季入學申請截止日期:2018年6月30日

其中,,英語語言能力測試成績單(雅思或PTE),、應屆本科畢業(yè)生的學士學位證書和畢業(yè)證書復印件可晚于6月30日但須在7月15日前遞交。遲于截止日期的申請將視錄取人數(shù)情況而決定,。

請郵寄申請材料至以下地址:

寧波諾丁漢大學招生與就業(yè)發(fā)展辦公室

浙江省寧波市泰康東路199號行政樓226研究生審核中心

郵編:315100

電話:+86(0)574 8818 0000-8938

English Version

Introduction

Why choose the MSc in Business Analytics?

  • Do you want to be a professional analyst who understand both the technologies and the business?

  • Do you want to master the skills in making data-driven business decisions?

  • Do you want to learn the practical use of data visualization tools, statistical analysis tools, and big data technologies?

What is business analytics?

  • Business Analytics is the intersection of management science and machine learning in real world applications.

  • It offers new potential to improve financial performance, strategic management and operational efficiency.

  • Business Analytics is an increasingly critical component in preparing organizations to solve 21st-century business challenges and support data driven decision making.

Programme Overview

Our MSc Business Analytics programme is a one-year, full-time programme consisting of 6 core modules, and 2 elective modules from a choice of 7 elective modules.

The core modules are conducted via lectures, tutorials, and computer laboratory sessions. Students undertake the dissertation project in Business Analytics in collaboration with one of our international industrial partners.

Graduates of the programme will have gained the necessary skills and knowledge in a range of fields, including business operation, database, statistics, informatics, data analytics, machine learning and big data technologies in real-world business contexts.

Core Modules:

  • Data at Scale: Management, Processing and Visualisation

  • Foundational Business Analytics

  • Analytics Specialisations and Applications

  • Machine Learning and Predictive Analytics

  • Data Driven Dissertation Project in Business Analytics

  • Leading Big Data Business Projects

Teaching and Learning

Our learning environment is highly interactive and innovative with student-centred learning activities.

Other than examinations, our students will be assessed via essays writing, practical exercises, group and individual projects, and oral presentations.

The dissertation focuses on developing students’ skills in applying analytic techniques, communicating and solving the data analytics problem.

Career Opportunities

The area of business analytics is growing in financial sectors, customer services, enterprise optimization, and consumer marketing

When our students graduate, they will be able to:

  • Find a job in the business firms that require the knowledge of big data and advanced analytic techniques.

  • Study the organisations, management, and international external environments.

  • Gain business insights and professional skills in data mining, data visualization, data management, process modeling, predictive and advanced analytics.

  • Develop the ability to optimize the business processes and management practice.

  • Contribute to business and society at large.

What are the potential careers of our graduates?

? Business intelligence analytics

? Marketing analyst

? Business systems analyst

? Data scientist

? Business consultant

? Solution Architects

Entry Requirements

  • Suitable for: at least 10 credits equivalent value with significant mathematical/statistical content. However, this course is not suitable for students who have previously studied a significant amount of business analytics.

  • Admission requirements: 2:1 honours degree or equivalent

  • English requirements: IELTS 6.5 with 6.0 in writing

Scholarship

? Alumni Scholarship

? Family Scholarship

? Study Abroad and International Exchange Alumni Scholarship

? Universitas 21 Alumni Scholarship

? Ningbo International Student Government Scholarship for Academic Excellence

? The University of Nottingham Ningbo China High Achievers Scholarship

How to Apply

(International students, including Hong Kong, Macau and Taiwan students)

Your application should include:

  • an application form (http://www./en/study/postgraduate/masters/how-to-apply/international.aspx)

  • a recommendation letter on headed paper, signed and/or stamped

  • academic trans and degree certificates (results so far, or completed)

  • English language test score report if already received (IELTS/PTE Academic)

  • personal statement

  • a photocopy of the main pages from your passport

  • four passport-sized photos

Please note that applications can be made pending final results or during your final year of school/university education. Conditional offers will be made where appropriate and final results should normally be provided to us by 15 July, 2018.

Once you are ready to submit your completed application form and supporting documentation, please either email this to International_admissions@or post to:

Admissions and Career Development Office (International)

Trent Building 226, The University of Nottingham Ningbo China

199 Taikang East Road

Ningbo, 315100, China

t: +86 (0) 574 8818 0000-8921

Closing dates

Late applications will be considered subject to places available. If you would like to check in advance, please feel free to email us at International_admissions@.

English language test score report and/or degree/diploma certificates should be received by the Admissions Centre before 15 July, 2018. An extended deadline may be possible upon request.

What if my results are released after 15 July, 2018?

The University will make exceptions for students studying qualifications where results are officially released after 15 July.

If your results are released after 15 July, please email us at International_admissions@.

Click ‘Read more' for more details

    本站是提供個人知識管理的網(wǎng)絡存儲空間,,所有內容均由用戶發(fā)布,不代表本站觀點,。請注意甄別內容中的聯(lián)系方式、誘導購買等信息,,謹防詐騙,。如發(fā)現(xiàn)有害或侵權內容,,請點擊一鍵舉報。
    轉藏 分享 獻花(0

    0條評論

    發(fā)表

    請遵守用戶 評論公約

    類似文章 更多