Building for the next generation – challenges in the shadow of rising costs and dwindling resources

23. May 2023

Building for the next generation – challenges in the shadow of rising costs and dwindling resources

Mastering these challenges is only possible through sound knowledge combined with innovative approaches: the longstanding recipe for success of the MSc "Real Estate Investment & Valuation."

skyscrapers photographed from ground level — © sean-pollock PhYq704ffdA_unsplash

The future growth and development of the real estate industry in the coming years will be shaped by the ability to establish new sustainable ways. One of the critical challenges is the scarcity of resources, especially concerning building land, raw materials, and energy. As a result, the increasing need for sustainable solutions is coming more and more into focus.

Ecological, economic, and legal guidelines influence real estate planning and construction. The industry must address these guidelines and ensure all legal requirements are met.

Meeting these challenges requires a proactive approach and innovative solutions. Companies and professionals in the real estate industry must continuously evolve and adapt to the changing economic and societal needs. Only in this way can they meet the market's demands and ensure long-term success.

The TU Wien Academy for Continuing Education (ACE) has trained real estate experts for 34 years. The benchmark in this field is the MSc "Real Estate Investment & Valuation."

Key Facts

Continuing groups of max. 30 students
Combination of theory and practice
A growing network of real estate experts
RICS (Royal Institution of Chartered Surveyors) and CEPI (European Council of Real Estate Professions) accreditations
Access to qualifications according to the Real Estate Trustee Ordinance 2003
Degree: Award of the academic degree Master of Science (MSc)
Language of instruction: German
Course management: Univ.Prof.Dr. Bob Martens, FRICS
Duration: 4 semesters, part-time, divided into modules
Costs: EUR 20,500 (excl. travel and accommodation expenses)
Start of study: September 28, 2023
Application deadline: July 31, 2023

The next info session on the programm will take place on June 14, 2023, at 16:30. Registration

More information on the programm MSc Real Estate Investment & Valuation

contact

DI Filiz Siber-Schmied
Senior Program Manager
TU Wien Academy for Continuing Education
+43 1 58801 41730
immo@tuwien.ac.at

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SimpleSAMLAuthToken	This is needed to distinguish between the sessions of the logged-in users.	session	HTTP	Login TU Wien
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AWSELB	Always occurs in pairs with siteimproveses (for load balancing on the provider server)	session	HTTP	Siteimprove

Name	Purpose	Lifetime	Type	Provider
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LOGIN_INFO	Is used to store the credentials of users of Google services.	2 years	HTTP	Google
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RUL	Is needed by DoubleClick to determine whether advertising has been displayed correctly in order to make marketing activities more efficient.	1 year	HTTP	Doubleclick
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SID	Contains the Google account ID and the last login time of the user.	2 years	HTTP	Google
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SSID	Is needed to collect visitor information for videos hosted by YouTube on Google Maps integrated maps.	persistent	HTTP	Google
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__SECURE-APISID	Is needed to profile the interests of website visitors in order to display relevant and personalized advertising through retargeting.	8 months	HTTP	Google
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test_cookie	Is set as a test to check whether the browser allows cookies to be set. Does not contain any identification features.	15 minutes	HTTP	Google
VISITOR_INFO1_LIVE	Is needed by YouTube to store user settings and to calculate user bandwidth.	6 months	HTTP	Youtube
facebook	Is used to Enable ad delivery or retargeting	90 days	HTTP	Meta (Facebook)
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_fbc	Is needed to save the last visit (marketing/tracking).	2 years	HTTP	Meta (Facebook)
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fr	Is needed to serve ads and measure and improve their relevance.	3 months	HTTP	Meta (Facebook)
act	Is needed to store logged in users (marketing/tracking).	90 days	HTTP	Meta (Facebook)
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datr	Is needed to identify the browser for security and website integrity purposes, including account recovery and identification of potentially compromised accounts.	2 years	HTTP	Meta (Facebook)
dpr	Is used for analysis purposes. Technical parameters are logged (e.g. aspect ratio and dimensions of the screen) so that Facebook apps can be displayed correctly.	1 week	HTTP	Meta (Facebook)
sb	Is needed to store browser details and security information of the Facebook account.	2 years	HTTP	Meta (Facebook)
dbln	Is needed to store browser details and security information of the Facebook account.	2 years	HTTP	Meta (Facebook)
spin	Is needed for promotional purposes and social campaign reporting.	session	HTTP	Meta (Facebook)
presence	Contains the "chat" status of logged in users.	1 month	HTTP	Meta (Facebook)
cppo	Is needed for statistical purposes.	90 days	HTTP	Meta (Facebook)
locale	Is needed to save the language settings.	session	HTTP	Meta (Facebook)
pl	Required for Facebook Pixel.	2 years	HTTP	Meta (Facebook)
lu	Required for Facebook Pixel.	2 years	HTTP	Meta (Facebook)
c_user	Required for Facebook Pixel.	3 months	HTTP	Meta (Facebook)
bcookie	Is needed to store browser data (marketing/tracking).	2 years	HTTP	LinkedIn
li_oatml	Is needed to identify LinkedIn members outside of LinkedIn for advertising and analytics purposes.	1 month	HTTP	LinkedIn
BizographicsOptOut	Is needed to save privacy settings.	10 years	HTTP	LinkedIn
li_sugr	Is needed to store browser data (marketing/tracking).	3 months	HTTP	LinkedIn
UserMatchHistory	Is needed to provide advertising or retargeting (marketing/tracking).	30 days	HTTP	LinkedIn
linkedin_oauth_	Is needed to provide cross-page functionality.	session	HTTP	LinkedIn
lidc	Is needed to store performed actions on the website (marketing/tracking).	1 day	HTTP	LinkedIn
bscookie	Is needed to store performed actions on the website (marketing/tracking).	2 years	HTTP	LinkedIn
X-LI-IDC	Is needed to provide cross-page functionality (marketing/tracking).	session	HTTP	LinkedIn
AnalyticsSyncHistory	Stores the time when the user was synchronized with the "lms_analytics" cookie.	30 days	HTTP	LinkedIn
lms_ads	Is needed to identify LinkedIn members outside of LinkedIn.	30 days	HTTP	LinkedIn
lms_analytics	Is needed to identify LinkedIn members for analytics purposes.	30 days	HTTP	LinkedIn
li_fat_id	Required for indirect member identification used for conversion tracking, retargeting and analytics.	30 days	HTTP	LinkedIn
U	Is needed to identify the browser.	3 months	HTTP	LinkedIn
_guid	Is needed to identify a LinkedIn member for advertising via Google Ads.	90 days	HTTP	LinkedIn

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